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Job Description Application Support Analyst New York, NY 10166 We are seeking an Application Support Analyst to join our IT team supporting the Metals and Energy business. This will require collaboration with cross-functional teams to ensure smooth application operations. The role requires diligence in maintaining technical documentation and the willingness to participate in knowledge sharing to maximize team understanding and efficiency. You will play a key role in maintaining application stability, improving processes, supporting system releases, and assisting users across the trading environment. KEY RESPONSIBILITIES: • Provide technical support for trading applications including trade capture, market data, risk, and settlement systems, • Troubleshoot and resolve system issues in real-time to minimize trading disruptions, • Monitor applications and batch processes to ensure optimal performance, • Manage incident tickets and maintain technical documentation, • Support electronic trading systems, user access management, and trading platform connectivity, • Provide production support for market data platforms and vendor systems (e.g., Bloomberg, Refinitiv), • Assist with system upgrades, releases, and testing activities, • Collaborate with IT Development and business teams to improve and automate processes REQUIREMENTS: • At least 3+ years of experience in application or technical support, preferably within financial services or trading environments, • Proficiency in SQL (Oracle or MS SQL Server), scripting languages (PowerShell or Python), and Windows infrastructure, • Strong troubleshooting and analytical skills, • Ability to work in a fast-paced, high-pressure environment, • Familiarity with trading systems (Openlink, FIX, Trayport, TT) is beneficial but not required We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. req26-00135

Job Description REV Renewables, an LS Power company, is a leading developer, owner, and operator of renewable energy and energy storage projects across North America. With over 2.9 GW of operating assets and a robust development pipeline—REV is at the forefront of the clean energy transition. Our mission is to deliver affordable, reliable, and clean electric power to all. Through a commitment to innovation, REV continuously adapts to the evolving regulatory, environmental, and market landscape to deliver optimized energy solutions. Learn more at . Job Summary: The Strategy Manager will play a key role in shaping REV’s corporate strategy, supporting decision‑making across markets, development, operations, finance, and energy management. Sitting between the Associate and VP levels, this individual will lead cross‑functional analyses, refine strategic frameworks, assess new business opportunities, and strengthen REV’s competitiveness in a rapidly evolving renewable energy environment. This role requires a candidate who can combine rigorous analytical capabilities, deep power market familiarity, and big‑picture strategic thinking—synthesizing complex information into actionable insights for senior leadership. This position does require a strong understanding of renewable energy markets, competitive dynamics, and corporate strategy. Duties/Responsibilities: • Develop and refine corporate strategy initiatives, including multi‑year planning, market assessments, and investment opportunity evaluation; analyze market trends, competitive positioning, and technology developments to generate actionable insights., • Maintain, improve, and interpret power market and financial models to support development, trading, finance, and M&A decision‑making; perform sensitivities, validate assumptions, and extract second‑order insights beyond basic outputs., • Lead and coordinate cross‑functional workstreams across Development, Energy Management, Finance, Operations, and Trading to ensure alignment on strategic initiatives and market perspectives; prepare clear deliverables for executive and Board‑level audiences., • Conduct strategic deep dives on emerging technologies (e.g., storage, grid modernization, hydrogen), new market structures, and long‑term growth opportunities; support innovation and competitiveness efforts across the organization., • Bachelor’s degree in finance, economics, engineering, energy systems, or related field; advanced degree preferred., • 4–7 years of professional experience in renewable energy, power markets, strategy consulting, corporate strategy, or energy finance, with demonstrated impact in analytical and strategic work., • Strong understanding of U.S. competitive power markets, renewable energy technologies, and industry economics; experience interpreting market signals and regulatory trends., • Advanced financial and market modeling capabilities in Excel; experience with Python, Tableau, SQL, or similar tools preferred., • Exceptional communication skills, with the ability to synthesize complex topics for senior leadership and collaborate across technical and commercial teams., • Experience with power market fundamentals such as resource adequacy, interconnection, energy storage economics, and regional market design is preferred., • Must be able to sit/stand at a desk, using a computer workstation., • The employee is occasionally required to climb, balance, stoop, kneel, crouch, reach with hands and arms, walk; lift push or pull objects up to 20 pounds., • Must be able to handle long periods of screen time and typing. At REV Renewables, we’re not just transforming the energy landscape—we’re building a workplace where people thrive. Our mission is to accelerate the decarbonization of the electricity supply while ensuring affordability, reliability, and resilience. We do this by empowering our team with purpose, support, and opportunity. Our Core Values • Integrity First – We uphold the highest ethical standards in everything we do., • Teamwork – We foster a collaborative, inclusive, and fun work culture., • Ownership Mindset – We take accountability and act in the long-term interest of our stakeholders., • Thought Leadership – We are creative, purposeful, and diligent in our decision-making. REV is proud to provide a comprehensive and competitive benefits package designed to support employees’ well-being and long-term success. Below are just a few examples: • Employer-sponsored Medical, Dental, and Vision coverage for employees and their eligible dependents., • Health Reimbursement Arrangement (HRA) and Flexible Spending Accounts (FSA)., • Company-paid Life, AD&D, and Long-Term Disability Insurance., • 401(k) with employer contributions., • Generous Time Away policies., • Educational Reimbursement for professional development. We believe in creating a workplace where every employee feels valued, supported, and inspired to grow. Join us in shaping a cleaner, more sustainable energy future. REV Renewables is proud to be an Equal Employment Opportunity Employer. We are committed to fostering a workplace rooted in mutual respect, where all applicants and employees are valued and supported. Employment decisions are made without regard to race, color, religion, sex, pregnancy, national origin, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. Disclaimer to Agencies: Please be advised we do not accept third-party resumes unless previously agreed to by Human Resources and the Agency.

Join an innovative company is looking to drive change in the marketplace. Healthcare client from the Northeast is in search of two Actuarial Analysts. These individuals will help lead day-to-day data & actuarial analytics, build & maintain long-term relationships with key industry partners, and use feedback to improve efficiency. The ideal candidate would be a student actuary or ASA with 3-5 years of actuarial experience, including experience in Medicare claims data, Value Based Care & emerging ACO models. Must be able to speak confidently to clients & senior leaders and possess strong technical skills in Excel, SQL and Python. (#58352) Compensation: Salary range of $120-150K Location: New York, NY

Position: Data Quality Analyst / Claims Service Correspondent Location: New York, NY 10004 (Hybrid) Job Type: Contract Contract: ~8 weeks with potential extension Schedule: Monday – Friday | 9:00 AM – 5:00 PM Guaranteed hours per week: 35.00 Pay: Up to $65/hour Job Summary Pride Health is seeking a skilled Data Quality Analyst / Claims Service Correspondent for a contract opportunity in New York, NY. This role focuses on data validation, claims inquiry resolution, and quality assurance, supporting healthcare operations and ensuring accurate claims processing and data integrity. Responsibilities • Respond to provider claim inquiries and ensure timely resolution, • Review, validate, and maintain accuracy of healthcare data, • Perform claims adjustments for overpayments and underpayments, • Collaborate with internal teams (Provider Relations, Medical Management, Claims), • Maintain accurate documentation and data entry in IMAX systems, • Analyze datasets to identify discrepancies and improve data quality, • Support quality control processes for data reporting and analytics, • Track and manage inquiry resolution workflows, • Assist with audits, reporting, and process improvements, • Communicate effectively with providers and internal stakeholders Requirements • Strong experience in claims processing and healthcare operations, • Knowledge of MetroPlus claims guidelines and benefit structures, • Experience with IMAX and TXEN systems, • Proficiency in Excel and data analysis tools, • Strong analytical, problem-solving, and communication skills, • Ability to manage high-volume inquiries and meet deadlines Preferred Qualifications • Experience with SQL, Python, or R, • Background in data quality, analytics, or reporting, • Strong customer service and issue resolution skills, • Ability to work independently and handle complex workflows Why Work with Pride Health? Pride Health offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k) retirement savings, life & disability insurance, an employee assistance program, legal support, auto and home insurance, pet insurance, and employee discounts with preferred vendors.

Jersey City, NJ Contract to Hire Hybrid W2 Only · No 3rd Parties Role Overview Support the Cyber Data Operations team by monitoring the production batch stream cycle of CyberDW, diagnosing job failures, and escalating issues according to protocol. This role is responsible for creating playbooks and SOPs, coordinating with the Cyber Data team on production releases and active issues, and driving organizational efficiency through business process analysis and data-driven decision-making. Production Job Types Monitored ETL Jobs CDQ Jobs QA Jobs DLP Jobs Event Monitoring Jobs Key Responsibilities Production Monitoring • Monitor the production batch stream cycle of CyberDW on an ongoing basis., • Diagnose job failures across ETL, CDQ, QA, DLP, and event monitoring pipelines., • Create and maintain operational playbooks and standard operating procedures., • Document processes and decision trees for recurring production issues., • Coordinate with the Cyber Data team on production releases and active CyberDW issues., • Analyze business processes and identify operational improvement opportunities., • Support data-driven decision-making to enhance operational performance. Must-Have SQL Relational Databases Core Skills Batch Stream Monitoring ETL Job Management Incident Diagnosis & Escalation SOP / Playbook Authoring Business Process Analysis Process Mapping Data Interpretation Cross-Functional Collaboration Analytical Problem-Solving Project Management Tools Nice to Have Python Cyber / Security Domain DLP Operations Data Warehouse Support QA Job Monitoring Soft Skills Strong Attention to Detail Clear Communication Organizational Skills Business Context Awareness

📍 Brooklyn, NY | Full-Time on-site Job Description Meridian is a trendy, forward-thinking furniture manufacturer, and one of the fastest-growing furniture brands in the US. We produce stylish & well made furniture that can be delivered right to your doorstep, all at an unbeatable price. We are dedicated to providing high-quality products and exceptional service. Overview We are seeking a detail-oriented and analytical Demand Planner to join our team. The ideal candidate will play a crucial role in forecasting demand, managing inventory levels, and ensuring that our supply chain operates efficiently. This position requires a strong understanding of supply chain principles, inventory management, and sales analysis to optimize product availability while minimizing excess stock. Responsibilities • Develop and maintain accurate demand forecasts using historical data and market trends., • Collaborate with cross-functional teams including sales, marketing, and operations to align on demand planning strategies., • Analyze sales data and inventory metrics to identify trends and opportunities for improvement., • Monitor inventory control processes to ensure optimal stock levels are maintained. Qualifications/Experience • High proficiency in Microsoft Excel, must have the ability to organize and manipulate data using formulas, pivot tables etc., • 3-5 years experience in wholesale products with key U.S. retailers., • Proven experience in demand planning or a related field within supply chain management., • Strong knowledge of inventory management principles and practices., • Familiarity with sales analysis techniques to inform forecasting decisions., • Excellent analytical skills with the ability to interpret complex data sets. Ideal candidate is highly proficient in Excel, SQL, Python, and Power BIJoin us in this exciting opportunity to contribute to our supply chain success as a Demand Planner. Your expertise will be essential in driving efficiency and ensuring customer satisfaction through effective demand management. Compensation pay range: $65-80k/year • Benefits:401(k), • 401(k) matching, • Dental insurance, • Employee discount, • Health insurance, • Life insurance, • Paid time off, • Retirement plan, • Vision insurance Experience:Demand planning: 5 years (Required) Additional Job Application TermsThis job is part of LinkedIn’s Full-Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia. We’re committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you’re a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don’t hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; we are looking for candidates with a strong background in Software Engineering or Computer Science for a Java/Software Developer position. Responsibilities: • ● Develop software and web applications using Java 8/J2EE/Java EE (and higher), React.js,Angular2+, SQL, Spring, HTML5, CSS, JavaScript and TypeScript among other tools;, • ● Write scalable, secure, maintainable code that powers our clients’ platforms;, • ● Create, deploy, and maintain automated system tests;, • ● Work with Testers to understand defects opened and resolves them in a timely manner;, • ● Support continuous improvement by investigating alternatives and technologies and, • presenting these for architectural review;, • ● Collaborate effectively with other team members to accomplish shared user story, • and sprint goals;, • Basic Qualifications:, • ● Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) an understanding of the software development life cycle;, • ● Basic programming skills using object-oriented programming (OOP) languages with in-depth knowledge of common APIs and data structures like Collections, Maps, lists, Sets etc., • ● Knowledge of relational databases (e.g. SQL Server, Oracle) basic SQL query language skills, • Preferred Qualifications:, • ● Master’s Degree in Computer Science (CS), • ● 0-1 year of practical experience in Java coding, • ● Experience using Spring, Maven and Angular frameworks, HTML, CSS, • ● Knowledge with other contemporary Java technologies (e.g. Weblogic, RabbitMQ,, • Tomcat, etc.) · Knowledge of JSP, J2EE, and JDBC, • ·, • Compensation: $65,000.00 to $80,000.00 /year, • BeaconFire is an e-verified company. Work visa sponsorship is available.

Jackson Lucas is a global organizational consulting firm providing specialized expertise in executive search, compensation consulting, leadership and board advisory, succession planning, and interim executive solutions. We have partnered with PIMCO Prime Real Estate U.S. (“PPRE”) to run the search for this opportunity. PPRE U.S. is the U.S. subsidiary of PIMCO Prime Real Estate, the real estate investment and asset manager serving the global Allianz Group companies. PPRE has assets under management of approximately $90.0 billion and has approximately 450 employees around the global with subsidiaries in Germany, France, Switzerland, Italy, the U.S., and the Asia/Pacific Region. PPRE U.S. makes equity and debt investments in the top 50 metropolitan areas in the U.S. and manages an existing portfolio of direct equity holdings, joint ventures, fund investments and commercial mortgage loans aggregating approximately $24.0 billion. Annual debt investments include approximately 40-50 commercial mortgage loans totaling $2.5 billion to $3.0 billion. We are seeking a Senior Associate to join the CRE Loan Asset Management Team focusing on Investor Reporting and Data Management. Key Tasks and Responsibilities: Reporting to the Head of Debt Portfolio Management, the Data & Reporting Associate is a key role within the platform to ensure that data is managed to the highest standard of quality, and within required timeframes for both regular/recurring activities and tasks as well as for ad hoc requests. The role requires coordination across multiple teams including stakeholders outside of the team, therefore attention to detail, thoughtful comprehensive analysis, a high level of professionalism and a dedication to the “4 Eyes” Principle are critical attributes. The ability to work independently and be resourceful and anticipate need is equally critical. An interest in problem solving and evolving and refining/improving processes and procedures is also important for this role, as is fully embracing collaboration and teamwork. Tasks include: • Manage and analyze commercial real estate loan asset data to support decision-making and reporting., • Maintain quantitative models and tools for data analysis, reporting, and performance tracking., • Responsible for managing, facilitating, coordinating and preparing regular and ad-hoc reports for both internal needs and investors, managing timely distribution, as well., • Through a commitment to checks and balances, as well as ensuring data accuracy, consistency, and completeness across all reporting and analysis activities at all times., • Collaborate with external service providers, as required, to establish, enforce and continuously optimize data processes from database management through all channels including investor reporting., • Proactively facilitate continuous process automation and efficiency improvements in data workflows and reporting pipelines., • Data explanations and reconciliation with investors., • Validate loan onboardings at loan closing and payoff calculations., • Validate loan payoff calculations, ensuring reporting accuracy., • Evaluate AI use cases and integrate AI solutions. Requirements and Qualifications: • Bachelor’s degree with focus on data analytics or finance, with a specialization related to data., • 4-6 years of experience of analytics and reporting in commercial real estate / financial services., • Proven ability to structure and maintain large data sets, develop analytics dashboards, and streamline data workflows that enhance portfolio management processes., • Proficient in MS Office applications with specific emphasis on Excel. MS Power BI, Power Query, SQL, Python are a plus.

Job Title: Model Risk Management (MRM) Tech Analyst Location: New York, NY Duration: 6 months Role Overview: We are seeking an MRM Technical Analyst with strong experience in Model Risk Management, model lifecycle workflows, and hands on analysis of model code and data. The candidate will work closely with business stakeholders to refine requirements, write user stories, and support model governance activities. Key Responsibilities: • Work with business users to refine user stories and translate regulatory requirements into technical specifications., • Review and interpret model code written in Python and SQL., • Support MRM processes, model inventory, validation workflows, and governance controls., • Partner with engineering teams to ensure proper implementation of model lifecycle enhancements., • Support testing, documentation, and cross functional communication. Required Skills: • Strong Business Analyst background with MRM experience., • Hands on proficiency in Python and SQL., • Excellent communication and stakeholder management skills.

We are partnering with a $60B+ AUM Credit fund in need of a CLO Portfolio Associate for their New York headquarters. This firm is known for its 25-year track record of outperformance in credit markets, our client is a titan in the credit universe. This role is a critical hire within their Structured Products team, offering direct exposure to senior Portfolio Managers and the Trading Desk. You will play a pivotal role in the optimization of both U.S. and European CLO portfolios, sitting at the intersection of quantitative analysis, market execution, and portfolio strategy. Key Responsibilities • Portfolio Optimization: Partner with PMs and the Trading Desk to construct and propose trade optimizations for US/EUR CLO portfolios to enhance relative value and improve structural metrics., • Performance Monitoring: Actively monitor collateral composition, coverage tests (OC/IC), and structural triggers. Run all hypothetical trades and synthesize results for senior leadership., • Collateral Analysis: Identify and analyze daily changes in collateral pools, including loan trading activity, rating migrations, and default/recovery scenarios., • Deal Lifecycle Management: Assist in new issue launches, warehouses, restructurings, and refinancing transactions. Track warehouse ramping progress for upcoming deals., • Stakeholder Liaison: Serve as the central point of contact between Trading, Legal, Middle Office, and Technology to ensure deal integrity, compliance with investment guidelines, and data accuracy., • Investor Relations: Support the IR team by responding to complex investor inquiries and producing detailed portfolio performance analytics., • Strategic Support: Monitor fund-level liquidity and proactively propose capital calls as necessary. Candidate Profile The Ideal Professional: You are likely currently working at a top-tier CLO manager, a rating agency, a Big 4 accounting firm, or a specialized valuation shop. You possess a "proactive" mindset and thrive in the high-pressure environment of a leading investment floor. Requirements: • Experience: 2–4 years of experience specifically within structured credit, CLO analytics, or leveraged loan analytics., • Knowledge Base: Deep understanding of CLO documentation, indenture tests, and structural waterfalls. Knowledge of underlying corporate credit ratings is strongly preferred., • Analytical Rigor: Strong quantitative skills with the ability to analyze portfolio-level metrics and collateral performance., • Software: Proficiency in Intex and Bloomberg is highly preferred., • Programming (Plus): Experience with Python, VBA, or SQL is a significant advantage for automating workflows and data analysis., • Bachelor’s degree in Finance, Economics, Mathematics, or a related quantitative field.

Company Insight: A leading global investment firm is expanding its sector-focused data science capability, embedding data more deeply into the investment research process. This team partners directly with investors to generate differentiated insights by applying rigorous analytics to large, complex, and often unstructured datasets. This is a high-impact role for someone who enjoys turning raw data into clear, decision-ready insight — and who wants their work to directly influence how capital is allocated. You’ll operate as a thought partner to investment teams, bringing structure, speed, and analytical rigour to how data informs research and portfolio construction The Role: • Partner with investment teams to understand their research approach and identify how data can strengthen decision-making, • Analyse data from multiple structured and unstructured sources to test complex investment theses, • Rapidly assess data relevance, detect emerging trends, and separate signal from noise, • Identify the key operational and fundamental drivers across companies and sectors, • Deliver high-quality research outputs in a clear, concise format tailored for senior investors, • Help build and evolve scalable datasets, analytical frameworks, and decision-support tools Experience/Skills Required: • Strong intellectual curiosity with a genuine interest in markets and investing, • Ability to quickly digest fundamental research and translate narratives into data-driven analysis, • Advanced Python skills (including Pandas) and strong SQL, • Solid background in statistical modelling and quantitative analysis, • Experience working with large, complex, or unstructured datasets, • Prior exposure to investment management, equity research, or buy-side analytics, • Bachelor’s degree in statistics, engineering, economics, computer science, physics, or a related discipline Pre-Application: • Please do not apply if you are looking for a contract or remote work, • Please ensure you meet the required experience section prior to applying, • Allow 1-5 working days for a response to any job enquiry

🚀Production/Application Support 🤖Client: Quant Fund – Global collaborative firm run by passionate Computer Scientists 💰Salary: Up to $200,000 USD+ bonus + perks 📍Location: New York (Hybrid/Remote) My client is looking for a Production Support Engineer to keep global trading platforms running smoothly. From pre-trade checks to post-trade operations, you’ll monitor and support end-to-end transaction flows, quickly troubleshoot alerts and issues, and escalate when needed to prevent outages. You’ll also manage scheduled changes, automated processes, and work closely with infrastructure teams to drive continuous improvements and automation. Key experience & skills: ✔️ 2+ years in application/production/front-office support ✔️ Strong Python and/or Bash scripting ✔️ Relational database knowledge (SQL, Postgres, etc.) ✔️ Linux enthusiast ✔️ Passion for technology and problem-solving 📩 If this sounds like your next move, apply or reach out directly:

Role Scope and Responsibilities Data Foundations and Metrics • Partner with technical and data stakeholders to help define and maintain a scalable workforce data model, • Translate business questions into clear, consistent workforce metrics and reporting logic, • Establish and document metric definitions and data standards to ensure long-term consistency and accuracy, • Validate workforce data across systems to ensure integrity and reliability Governance and Alignment • Define and maintain core workforce metrics including headcount, attrition, hiring, and forecasting, • Support the development of governance practices across HR and people-related systems, • Drive alignment on workforce reporting across People, Finance, and senior leadership Analytics and Reporting • Design and deliver dashboards and reporting for headcount, hiring, and workforce planning, • Support workforce forecasting in partnership with Finance and business leaders, • Provide actionable insights that inform talent decisions and operational planning, • Ensure reporting is clear, intuitive, and executive-ready, with a strong emphasis on data visualization best practices Qualifications Experience • Approximately 6 to 10 years of experience in People Analytics, HR Analytics, or Workforce Analytics, • Proven experience building or significantly evolving workforce reporting and analytics frameworks, • Experience partnering with Finance, Engineering, or Data teams, • Background in financial services, fintech, or technology environments preferred, though not required Technical and Analytical Skills • Strong proficiency in SQL, • Experience with data visualization platforms such as Tableau, Power BI, Looker, or similar tools, • Familiarity with workforce-related systems including HRIS and ATS platforms, • Exposure to tools such as DAX, Python, or Alteryx is highly valued, • Experience working with UKG is a plus but not a requirement Core Competencies • Ability to translate complex business questions into structured analytical solutions, • Strong written and verbal communication skills with experience presenting to senior stakeholders, • Systems-oriented thinker who anticipates scale, governance, and future reporting needs, • Comfortable operating independently and prioritizing work in a fast-paced environment

We are seeking a high-caliber CLO Analytics Associate to join a world-class credit platform. This is a technical, front-office adjacent role designed for a candidate who understands the "math behind the deal." You will be responsible for the sophisticated modeling, stress testing, and automation required to manage a global CLO platform throughout its entire lifecycle. This position offers a unique vantage point, collaborating directly with Portfolio Managers, Technology teams, and Business Strategy to drive the expansion of a premier $65B+ AUM credit business. Key Responsibilities • Advanced Cash Flow Modeling: Utilize Intex, proprietary internal tools, and 3rd party engines to run complex cash flow, stress, and optimization analyses., • Systems & Automation: Partner with internal Engineering teams to build, maintain, and deploy the next generation of in-house analytical tools. You will act as the "product owner" for CLO analytics, troubleshooting and refining models., • PM Partnership: Collaborate with Portfolio Managers to refine cash flow assumptions and evaluate compliance with indenture documentation and structural triggers., • Capital Markets Strategy: Assist in evaluating and recommending redemptions, refinancings, and resets (Refi/Resets) based on quantitative projections., • Business Intelligence: Partner with Business Strategy to project profitability, AUM growth, and key business metrics for the CLO vertical., • Investor Relations Support: Work with the Business Development team to provide deep-dive debt and equity analysis for investor inquiries and marketing updates., • Cross-Functional Liaison: Coordinate with Legal, Tax, Accounting, and external consultants to ensure the validity of models and the efficiency of new fund setups. Experience & Skills: • Background: 2–4 years of experience in structured credit analytics, CLO modeling, or valuation (ideally from a CLO manager, rating agency, or specialized Big 4 valuation group)., • Education: STEM Undergrad; STEM Advanced Degree Preferred., • Structural Expertise: Deep understanding of CLO waterfalls, indenture mechanics, and the ability to interpret complex legal documentation., • Quantitative Rigor: Advanced Excel and financial modeling skills are non-negotiable. Strong familiarity with Intex and Bloomberg is highly preferred., • Tech-Forward: Programming experience in Python, VBA, or SQL is a major advantage, as you will be the primary bridge between the investment desk and the tech team., • Proactive Mindset: You should be "front-footed"—anticipating questions from PMs and investors before they are asked., • Communication: Ability to translate complex quantitative results into actionable insights for non-technical stakeholders., • Adaptability: Thrives in a fast-paced, high-stakes investment environment where accuracy is paramount.

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; we are looking for candidates with a strong background in Software Engineering or Computer Science for a Java/Software Developer position. Responsibilities: • ● Develop software and web applications using Java 8/J2EE/Java EE (and higher), React.js,Angular2+, SQL, Spring, HTML5, CSS, JavaScript and TypeScript among other tools;, • ● Write scalable, secure, maintainable code that powers our clients’ platforms;, • ● Create, deploy, and maintain automated system tests;, • ● Work with Testers to understand defects opened and resolves them in a timely manner;, • ● Support continuous improvement by investigating alternatives and technologies and, • presenting these for architectural review;, • ● Collaborate effectively with other team members to accomplish shared user story, • and sprint goals;, • Basic Qualifications:, • ● Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) an understanding of the software development life cycle;, • ● Basic programming skills using object-oriented programming (OOP) languages with in-depth knowledge of common APIs and data structures like Collections, Maps, lists, Sets etc., • ● Knowledge of relational databases (e.g. SQL Server, Oracle) basic SQL query language skills, • Preferred Qualifications:, • ● Master’s Degree in Computer Science (CS), • ● 0-1 year of practical experience in Java coding, • ● Experience using Spring, Maven and Angular frameworks, HTML, CSS, • ● Knowledge with other contemporary Java technologies (e.g. Weblogic, RabbitMQ,, • Tomcat, etc.) · Knowledge of JSP, J2EE, and JDBC, • ·, • Compensation: $65,000.00 to $80,000.00 /year, • BeaconFire is an e-verified company. Work visa sponsorship is available.

Job Title: QA Automation Engineer II Location: Jersey City, NJ(Hybrid) Duration: 8+ Months (Possible Extension) ("US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”) A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $67 with limited benefits. Job Description: Key Experiences: • 9+ years of proven experience in the software development industry, participating in a team environment., • 5+ years of experience in UI automation, such as Selenium WebDriver., • 5+ years of proven experience in testing web services such as RESTful API., • 3+ years of proven experience in performance testing using tools such as Apache JMeter., • 2+ years of working in a cloud-based development and production environment such as AWS., • 3+ years of proven experience with programming languages such Java/C#. Familiarity with Python is a plus. Seeking candidates with solid coding proficiency in Java or C#., • Proficient with both SQL and NoSQL databases., • Experienced working in Continuous Integration/Continuous Deployment (CI/CD) environments., • Having AWS/Cloud technologies and AI/ML powered applications knowledge are big plus. Top 3 Skills Required for this position: 1. Experience in Manual UI Testing & Automation testing using Selenium with C# (Mandatory), 2. Experience in Manual API Testing using Postman or any tool and Automation Testing Experience using JMeter or any Automation tool (Mandatory), 3. Experience with Python Coding (Mandatory) Key Responsibilities: • Design and execute functional and automation testing for applications., • Develop and execute automated test scripts using testing tools; document and summarize results., • Build, update, and maintain UI automation test cases using Selenium with C#., • Perform manual API testing using tools such as Postman or Insomnia., • Perform API automation testing using industry-standard frameworks and tools., • Participate actively in Agile ceremonies (daily stand-ups, sprint planning, retrospectives)., • Collaborate closely with Development and Business teams to ensure project success., • Quickly adapt to new technologies and tools (e.g., Amazon Web Services)., • Work with SQL and NoSQL databases for backend validation and robust data testing., • Create comprehensive end-to-end test plans, test specifications, and test case templates., • Develop and document detailed test plans and test cases., • Facilitate defect tracking, reporting, and resolution management., • Review requirements (Functional Specifications, User Stories, Change Requests) to ensure full coverage., • Identify and manage test data; prepare automation-ready test cases., • Conduct system testing, regression testing, and support User Acceptance Testing (UAT)., • Apply test case design techniques (e.g., boundary value analysis, equivalence partitioning)., • Implement Shift Left Testing practices by participating in early requirement and design reviews, writing acceptance criteria up front, and integrating automated tests in CI/CD pipelines., • Be actively involved in the deployment process, collaborating with DevOps and engineering teams to ensure smooth releases., • Working knowledge of Python for scripting and automation. Nice to Have: • Experience with application monitoring tools (e.g., New Relic, Datadog, CloudWatch)., • Familiarity with AWS services for cloud-based testing and deployment., • Hands-on experience with performance and load testing using JMeter, • Experience with testing AI/ML-powered applications, including validating model outputs, creating test datasets, evaluating model performance.

Job Description Analyst/Associate – Capital Introductions & Prime Services (Equities) Location: New York, NY Role Overview: Jefferies is seeking a highly motivated and technically proficient Analyst or Associate to support the Capital Introductions within Prime Services team. This role sits within the Equities platform and provides exposure to Capital Introductions, Strategic Content, and Hedge Fund Advisory & Consulting Services. This employee will work closely with senior leadership to support hedge fund managers across the full lifecycle—from launch through growth and evolution—while helping drive data‑driven marketing strategy, investor targeting, and market intelligence. A core component of the role is the application of advanced analytics and AI-enabled tools to enhance client insight, content creation, and capital introduction effectiveness. Key Responsibilities: Capital Introductions & Hedge Fund Advisory • Support capital introduction efforts for both start‑up and established hedge fund managers across strategies, geographies, and asset classes, • Assist in evaluating hedge fund managers’ investment strategies, performance metrics, risk profiles, and operational frameworks, • Develop and maintain detailed manager and allocator profiles to support targeted investor outreach, • Help create, analyze, and refine strategic content used in client marketing, investor education, and capital introduction meetings, • Analyze allocator behavior, mandate trends, and capital flow dynamics to inform content and advisory recommendations, • Leverage AI tools and advanced analytics to automate research, reporting, and client intelligence workflows, • Build and maintain datasets, dashboards, and analytical models used across Capital Introductions and Hedge Fund Advisory, • Utilize Python, SQL, Excel/VBA, and AI platforms (e.g., large language models, data extraction tools) to enhance productivity and insight generation, • Monitor equity markets, hedge fund performance trends, financing conditions, and investor allocation behavior, • Synthesize quantitative analysis, market data, and qualitative insights into concise materials for senior management and committees, • Collaborate with Equities Distribution, Prime Services, and broader Jefferies teams to support firmwide initiatives Required Qualifications • Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, Engineering, or related discipline, • 1–4 years of relevant experience in capital markets, prime brokerage, capital introduction, hedge fund coverage, consulting, or analytics, • Strong quantitative and analytical skills with comfort working with large, multi‑source datasets, • Advanced Excel skills; working knowledge of Python, SQL, or comparable analytical tools highly preferred, • Demonstrated experience using AI tools for analysis, research automation, or content generation, • Solid understanding of hedge fund strategies, institutional allocators, and equity market structure, • Strong attention to detail, sound judgment, and ability to operate in a fast‑paced, high‑visibility environment Preferred Qualifications • Exposure to hedge fund operational due diligence, business consulting, or allocator-facing roles, • Experience building internal tools, dashboards, or automated workflows, • Familiarity with investor relations, fundraising processes, or portfolio risk analytics, • Strong writing and presentation skills with the ability to distill complex analysis into clear messaging What the Role Offers • Direct exposure to the leadership of Jefferies Prime Services and Capital Introductions, • Deep insight into institutional capital allocation trends and hedge fund business models, • A front-office role leveraging AI and advanced analytics to drive real-world outcomes, • A highly collaborative environment within a leading global equities and prime services platform Primary Location Full Time Salary Range of $100,00 - $150,000. About Us Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments. At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients. Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law. The salary offered will take into consideration an individual’s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.

At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity, and the pursuit of excellence in everything we do. We are working towards something big together. We foster a culture built on five core values: • Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others., • Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious., • Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, adapt., • Passion for Positivity: We greet each day with warmth and possibility. The Product Manager at CAVA is responsible for defining, building, and optimizing enterprise products that drive operational excellence and deliver measurable business value. This role ensures that products are treated as strategic assets, not just operational byproducts, and takes end-to-end ownership of the product lifecycle—from initial creation through ongoing consumption and continuous improvement. Sitting at the intersection of business strategy, technology, and user experience, the Product Manager partners with cross-functional teams to translate business needs into actionable product requirements, ensuring solutions are scalable, intuitive, and aligned with enterprise priorities. Success at CAVA: At CAVA, Managers oversee daily execution for themselves and their team of analyts and make operational decisions that keep things running smoothly. We look for leaders who support team development, lead with agility, foster inclusion, and drive consistent results aligned with team and company priorities. In this role you will be expected to lead a team of analysts and scale the team as needed based on business needs. What You’ll Do: Product Strategy & Vision • Lead a Data Product team supporting CAVA’s FP&A business unit, • Direct oversight for data analysts, • Define the vision, strategy, and roadmap for enterprise products, ensuring alignment with CAVA’s business goals., • Treat products as strategic assets, guaranteeing relevance and value over time., • Identify high-impact opportunities to enhance efficiency, decision-making, and innovation., • Translate business needs into clear user stories, requirements, and specifications., • Oversee end-to-end product development, including prioritization, sprint planning, testing, and release management., • Act as the bridge between business and engineering teams, serving as a subject matter expert (SME)., • Partner with stakeholders to identify, measure, and prioritize product-driven opportunities., • Ensure products comply with enterprise governance, privacy, and security standards., • Design experiences aligned to specific personas and use cases., • Develop training materials, user guides, and communication plans to support adoption. Required • 3–7+ years of experience in data product management or related technical/business roles., • Proficient in SQL or Python, • Experience with modern data architecture (data mesh, lakehouse, etc) and data visualization tools, • Strong understanding of product lifecycle management and agile methodologies., • Excellent communication, influencing, and collaboration skills., • Experience managing products in a high-growth environment., • Familiarity with modern tools and platforms (e.g., Databricks, APIs, operational dashboards)., • Ability to maintain stationary position to be able to operate a computer and other office equipment, • Must be able to identify, analyze and assess details, • For certain positions, must be able to occasionally move or transport items up to 50 pounds, • Ability to communicate with others and exchange information accurately and effectively, • Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable, • Competitive salary, plus bonus and long-term incentives*, • Early Wage Access!, • Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community, • Health, Dental, Vision, Telemedicine, Pet Insurance plus more!, • 401k enrollment with CAVA contribution, • Company-paid STD, LTD, Life and AD&D coverage for salaried positions*, • Free CAVA food, • Casual work environment, • The opportunity to be on the ground floor of a rapidly growing brand, • All exempt and non exempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired., • Please note that visa sponsorship is not available., • The posting range is an all cash range. *Indicates qualifying eligible positions only CAVA – Joining “A culture, not a concept” As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law. California applicants: Please visit our Notice at Collection and Privacy Policy to learn about our information practices in the job application and employment context.

Job Title: Program Manager – Data Analytics & Sales Operations Location: Strong Preference for onsite in New York, New York (Remote option available – EST time zone) Duration: 12 Months, potential extensions We are seeking a Program Manager III to join our client's Business Operations & Sales team. This role is ideal for a data-driven professional who thrives at the intersection of program management, analytics, and stakeholder engagement. You will be responsible for managing operational projects, delivering actionable insights, and enabling sales success through structured reporting and analysis. Must-Have Skills • Data analytics and reporting expertise, • Salesforce reporting proficiency, • Program management experience, • Stakeholder management, • Strong presentation and communication skills, • Google Suite & PowerPoint Nice-to-Have Skills • Tableau/Looker Studio experience, • SQL, R, Python knowledge, • General finance knowledge, • Retail industry familiarity Qualifications & Experience • Graduate/Post-graduate degree in a quantitative discipline (Mathematics, Business, Engineering, etc.)., • 4–5 years of experience in program management or sales operations within a large tech company OR 4–5 years of experience in strategy/management consulting at a leading consulting firm. Proficiency in: • Salesforce reporting, • SQL, • Google Suite (Sheets, Docs, Slides), • MS Office, • Strong stakeholder management and collaboration skills., • Excellent written and verbal communication skills., • Ability to deliver under tight timelines with high-quality outputs., • Knowledge of Finance, Tableau/Looker Studio, R/Python, or retail industry experience is a plus. Responsibilities • Lead and manage stakeholders across multiple projects from initiation to completion., • Research and share insights on industry trends, competitive landscapes, and business performance., • Identify, track, and model data around key business drivers., • Conduct forecasting analysis of inventory, revenue, store-level performance, and ROI impact of commercial incentives., • Solve complex challenges related to product performance and scale., • Create compelling visualizations of data and automate reporting to improve accessibility., • Package insights into structured presentations and documents for leadership and sales teams., • Provide actionable recommendations and detailed execution plans to cross-functional teams.

As a Quant Investment Associate, you will be the analytical engine behind our Fixed Income platform. You will not only build the models but also interpret the data to provide strategic recommendations on portfolio construction, tactical asset allocation, and risk-adjusted optimization. This is a highly visible, front-office role where your work directly impacts the alpha generation of our Fixed Income mandates. Key Responsibilities Portfolio Construction & Optimization • Quantitative Modeling: Design and implement robust frameworks for multi-sector Fixed Income portfolio construction (including Sovereigns, Corporates, High Yield, and Securitized products)., • Optimization: Develop and refine optimization algorithms (e.g., Mean-Variance, Risk-Parity, or Factor-based) that account for transaction costs, liquidity constraints, and regulatory requirements (e.g., Basel IV/Solvency II)., • Alpha Generation: Utilize systematic signals and alternative data to identify relative value opportunities across global fixed-income markets., • Scenario Analysis: Conduct "Stress-Testing" and "What-If" simulations to quantify portfolio sensitivity to interest rate shocks, spread widening, or geopolitical events., • Custom Tooling: Build and maintain proprietary Python-based libraries for bond pricing, yield curve fitting, and attribution., • Visual Dashboards: Develop real-time dashboards (using Streamlit, Dash, or Tableau) to visualize portfolio exposures, risk concentrations, and performance drivers., • Ad-hoc Analytics: Rapidly respond to market events by performing deep-dive data analysis on specific sectors or idiosyncratic risks. Qualifications • Education: Masters or PhD in a STEM field (Financial Engineering, Mathematics, Physics, Statistics, or Computer Science)., • Experience: 3–10 years in a quantitative role within Fixed Income, ideally on the buy-side (Asset Management or Hedge Fund)., • Programming: Expert-level Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). Experience with SQL and version control (Git) is essential., • Fixed Income Mastery: Deep understanding of duration/convexity, credit spreads, OAS, and the mechanics of structured products or derivatives (CDX, Swaps, Futures)., • Communication: Ability to bridge the gap between "Quant" and "PM"—explaining technical methodologies to non-technical stakeholders., • Commercial Acumen: A passion for markets and a drive to find profitable patterns in data., • Agility: Comfortable in a fast-paced trading floor environment where priorities can shift based on market volatility.

About Sigmoid Analytics: Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation! Why Sigmoid? • Inc. 500 Fastest-Growing Companies (4 years running), • Deloitte Technology Fast 500 (4 years running), • Top Employer: AIM’s 50 Best Firms for Data Scientists Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success. Desired Experience : • 8–12 years of overall experience., • 3+ years in consulting or client-facing analytics roles., • 3+ years of experience in CPG or adjacent commercial analytics environments., • Proven experience engaging with senior stakeholders and leading client conversations., • Strong track record in data science, statistics, and machine learning Role & Responsibilities : • Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions, • Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC)., • Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders, • Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities., • Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI, • Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required., • Perform a role that involves a combination of hands-on contribution and customer engagement, • Contribute to organization building through training, mentoring, and developing repeatable analytic approaches Primary Skills (Mandatory) • Strong foundation in ML and statistical concepts., • Proficiency in SQL, Python, and PySpark., • Experience with Snowflake, BigQuery, Azure, AWS, or Databricks., • Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics., • Ability to convert rigorous analysis into strategic recommendations., • Strong project management, communication, and team leadership skills, • Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space Secondary Skills (Good to have): • Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics., • Data engineering / MLOps experience., • Dashboarding experience with Power BI or Tableau, • Exposure to Agentic AI / LLMs or any other Gen AI capabilities

We are seeking a highly analytical Quant Investment Strategist / Portfolio Management Associate to join a top performing Credit team of a $100B asset manager. In this role, you will be the primary engine behind the modeling and analytics that drive our portfolio construction and asset allocation. Working directly with the Senior Portfolio Manager (PM), you will leverage advanced quantitative techniques to build and optimize credit portfolios, with a heavy focus on Structured Products (CLOs, ABS, RMBS/CMBS) and Private Credit (Direct Lending, Specialty Finance). You will bridge the gap between complex data architecture and real-world investment execution. Key Responsibilities Portfolio Construction & Optimization • Develop and maintain sophisticated models for Asset Allocation across various credit sub-sectors., • Implement optimization frameworks (e.g., Mean-Variance, Black-Litterman, or Factor-based) tailored for illiquid and structured credit assets., • Build cash flow engines and valuation models for complex Structured Products., • Develop proprietary risk models to capture non-linear risks inherent in private credit and leveraged structures., • Partner directly with the PM to provide data-driven insights for investment committee memos., • Monitor market signals and spread movements to suggest tactical rebalancing opportunities., • Synthesize large datasets of loan-level data to identify structural trends in the private credit landscape. Required • Advanced Degree (Masters or PhD): Required in a STEM field (Mathematics, Physics, Financial Engineering, Computer Science, or Statistics)., • Experience: 3–7 years of professional experience in a quantitative research or portfolio management environment., • Domain Expertise: Demonstrated knowledge of Credit Markets. Experience with Structured Products (CLOs) or Private Credit is highly preferred., • Programming: Expert-level proficiency in Python (NumPy, Pandas, Scikit-learn) or R., • Database/SQL: Ability to manipulate and query large-scale financial datasets., • Optimization: Deep understanding of stochastic calculus, linear algebra, and optimization libraries., • Tools: Familiarity with credit analytical tools (e.g., Intex, Bloomberg, or Moody’s Analytics) is a plus.

Rust and hands-on experience with Rust testing tools (e. Familiarity with Rust tooling (Cargo, Clippy, rustfmt), module and crate management. Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.

Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Take part in a part-time, remote, freelance project that fits around

Job Description Job Title: People Analyst Location: New York, NY (Hybrid) Salary: $85K – $100K + Bonus Prestigious professional services firm seeks People Analyst to join their Team! Responsibilities · Reviews and analyzes people related information and data from multiple sources, including HRIS (Workday), performance management systems, employee surveys, market surveys, and other sources. · Prepare monthly reports related to staffing, retention, and performance. · Support analytics platform of Visier, ensure dashboards are accurate and up to date · Execute routine data validation and reconciliation across Workday and downstream systems; document and correct data issues with guidance from business partners and operational team. · Provide data support for standard people processes, including annual performance reviews, promotions, DE&I, and compensation. · Prepare and support regulatory reporting such as EEO, UK Gender gap in partnership with Analytics and Comp team. · Assist with annual market compensation activities: gather and prepare gather and prepare job data, participate in job data, participate in job-matching and survey submissions, and reconcile results. · Execute routine data validation and reconciliation across Workday and downstream systems; document and correct data issues with guidance from business partners and operational team. · Prepare slides and summary materials for HR and business stakeholders; support presentation of findings with clear visualizations. · Help build and run scheduled data loads and simple ETL tasks; follow documented processes for secure handling of HR data. · Respond to ad-hoc reporting requests and perform basic analyses (cohort counts, trend comparisons, pivot analysis). · Maintain confidentiality and follow data governance best practices for sensitive employee information. · Collaborate with team assisting as needed across People initiatives (i.e. assisting with People survey, preparing training material, compiling compensation histories, RFP support) Qualifications · Strong analytical and problem-solving skills. Ability to organize and analyse large datasets, detect and correct errors, interpret and report results. Good attention to detail. · 1–2 years’ experience in HR analytics, people analytics, compensation support, or HRIS reporting · Hands-on advanced Excel skills (pivot tables, Power Query, lookup functions, conditional formulas) · Familiarity with Workday reporting, Visier or other HRIS reporting tools. · Basic competency in a BI tool (Power BI, Tableau, or similar) is able to build and update dashboards and visuals. · Proficiency across the MS Office suite (PowerPoint, Word) · Utilize AI tools to enhance people data analysis and reporting, and proactively build AI capabilities · Proven discretion working with confidential employee information. · Strong verbal and written communication skills · Experience with advanced analytics or Data Visualization tools a plus: SQL, VBA, Python, R, MS access

Job Description About Nayya Founded in 2019, Nayya is on a mission to connect people's most important information, so they can thrive in their health and wealth. Powered by AI and advanced analytics, Nayya's platform transforms complex benefits experiences into intuitive, seamless, and ongoing interactions—meeting people's real world needs. As a trusted platform and partner to leading employers, benefits solutions, and HR tech providers, Nayya unlocks long-term value through helping employees live more resilient lives. Backed by strategic investors like ICONIQ, Felicis Ventures, SemperVirens, Workday Ventures, MetLife Nextgen Ventures, and ADP Ventures, Nayya is ushering in the future of health and wealth for all. Nayya is building the future of employee benefits — ensuring smarter, more personal, and genuinely useful benefits experiences for millions of people every year. We're looking for a Benefits Product Specialist to sit at the intersection of deep industry expertise and product innovation. This isn't a traditional role. You'll be the benefits domain authority for our product and engineering teams — the person who can answer the hard questions about self-insured plan mechanics at 10am and review a prototype for a new benefits recommendation flow at 2pm. You'll cut through the noise, accelerate product development, and help the team build things that are genuinely right for employers and employees. If you've spent years in benefits consulting, brokerage, HR, or insurtech — and you're ready to bring that expertise into a fast-moving product environment — this role was designed for you. Role & ResponsibilitiesBe the Benefits Brain Trust • Serve as the internal subject matter expert on employee benefits for product, engineering, and design — fielding questions ranging from "how does stop-loss work" to "what does a TPA actually do with this data", • Build and maintain living documentation on benefits concepts, plan mechanics, and industry norms so the team doesn't have to re-research the same ground, • Review product specs, user flows, and engineering designs for benefits accuracy and flag gaps before they become expensive mistakesAccelerate Product Development, • Work directly with PMs and engineers to translate benefits complexity into clear, actionable product requirements, • Own benefits research so the team can move faster — no more engineers Googling "what is an embedded deductible" mid-sprint, • Help define the "right" answer on ambiguous benefits questions where there isn't one standard, and give the team the confidence to shipPrototype & Innovate with AI, • Build and iterate on benefits-related prototypes using AI tools — you don't need to write production code, but you should be comfortable in a low-code / AI-assisted development environment, • Identify opportunities where AI can improve how employees understand, select, and use their benefits — and bring those ideas to the table with enough specificity to act on, • Stay current on how LLMs and AI tools are reshaping benefits delivery and bring that perspective to Nayya's roadmapMentor & Elevate the Team, • Run informal benefits education sessions for product, engineering, and sales teams, • Help onboard new team members on the fundamentals — and the nuances — of how employer benefits actually work, • Be a resource for customer-facing teams navigating complex employer or member questionsWhat We're Looking ForBenefits Expertise (Required), • 3–8 + years of experience in employee benefits — consulting, brokerage, carrier, TPA, HR, or benefits technology, • Genuine fluency in the fundamentals: fully insured vs. self-insured, stop-loss (specific and aggregate), underwriting, claims data, plan design, COBRA, FSA/HSA/HRA, and EOB interpretation, • Familiarity with how employers actually make benefits decisions — renewal cycles, broker relationships, plan benchmarking, and the role of the CFO vs. HR in those conversations, • Comfort with the messiness of real-world benefits data — inconsistent carrier feeds, plan mapping challenges, formulary changes, and network nuancesProduct & Technology Sensibility (Required), • Experience working in or alongside a product or technology team — whether as a technical PM, a benefits tech implementation lead, or a consultant who's done deep work with HR/benefits platforms, • Ability to translate domain expertise into crisp, actionable requirements that engineers can build from, • Self-starter mentality: you're comfortable making judgment calls, driving toward clarity, and operating with ambiguity, • Demonstrated use of AI tools in your workflow — ChatGPT, Claude, Copilot, Cursor, or similar — and genuine curiosity about where they're headedNice to Have, • Experience writing code or working in a technical capacity (even lightly) — Python, SQL, or prompt engineering all count, • Prior experience at a benefits technology company (Businessolver, bswift, Benefitfocus, League, etc.) or at a large brokerage / consultancy (Aon, Mercer, WTW, Lockton, etc.), • Familiarity with how LLMs work and where they break down — enough to evaluate AI-generated benefits content critically, • You've been the person colleagues come to when a benefits question stumps the room — and you actually enjoy that, • You get frustrated when technology gets benefits wrong, and you have opinions about how to fix it, • You've played with AI tools enough to have a real point of view — not just "it's cool" but "here's how it could change how employees engage with their benefits", • You're ready to leave the comfort of a pure consulting or brokerage role and take ownership in a product environment where your work ships to real users, • You can talk credibly to a CFO about self-insured risk and then turn around and give an engineer a precise data spec — in the same day The salary range for New York based candidates for this role is $130,000- $190,000, commensurate with the broad range of experience for this position. We use a location factor to adjust this range for candidates that are located outside of geographic region of our New York office. Placement within the salary band is determined based on experience. #LI-HYBRID Nayya is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

A bachelor’s degree in data science, computer science, statistics, public health, or a related field. Working knowledge of SAS, R, Stata, Python, or SQL, especially for manipulating and examining large administrative health data files. Even if you don’t meet 100% of the qualifications, we encour

This is a fully remote position, open to candidates living in the U. While we gather in person a few times a year, this role is designed to remain remote long-term. Proven expertise in Python and SQL for data engineering tasks.

Must have experience in each of the following skills: Data architecture; Information technology; Python, SQL; Docker, CI/CD, and Jenkins; Postgres, Microsoft SQL, SSIS, SSRS; AWS Containers and Servers; Enterprise data management technologies including data warehouses, ETL tools, SQL, and master dat

Collaborate across teams (product, design, data, monetization) and conduct code reviews to mentor engineers, raise engineering standards, and deliver innovative solutions that drive business outcomes. Java, Python, Go), API design (REST/GraphQL), databases (SQL and NoSQL such as PostgreSQL, MongoDB)

Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines.

Proficiency to manipulate data (Python, R, SQL, SAS).

Job Description We are seeking a Senior Data Scientist to lead Marketing Mix Modeling (MMM) and conversion/attribution analytics end-to-end. You will build the models, ship the pipelines working with Data Engineers, and work directly with Sales, Strategy & Insights, and Planning teams to turn measurement into revenue. This is not a research engagement – we need someone who has shipped MMM and statistical models to production systems, influenced real ad spend decisions, and who can hold their own in a room with both Data Scientists and Ad Sales leaders. Required Skills & Experience • 7+ years of applied data science experience, with at least 4 years focused on MMM and marketing/media measurement, • Production ownership: you have built and shipped data pipelines and model-serving integrations – not just notebooks handed off to engineering (be ready to talk through specific systems you have put into production and the business outcomes they drove), • Strong Python/R and SQL skills; experience using modern data stack (cloud data warehouses, orchestration frameworks, version control, CI/CD), • Demonstrated experience with incrementality testing, lift studies, and MTA, including the messy parts: test design, power analysis, reconciling conflicting signals across methodologies, • Experience with at least one major MMM framework, such as Meridian, PyMC, Robyn, or LightweightMMM, and can speak to the tradeoffs in going with a bespoke model versus using such frameworks, • Proven ability to own stakeholder communication end-to-end: presenting to senior internal leadership (VP+), agencies, and clients without needing a layer of translation (you move swiftly between a Bayesian prior conversation and a channel-mix recommendation conversation without skipping a beat), • Able to work hybrid from our NYC office (4 days/week) Nice to Have Skills & Experience Strongly Preferred: • Prior experience at a publisher, broadcaster, streaming platform, ad-tech company, or agency/measurement firm working on media-side measurement, • Familiarity with ACR data, set-top box data, or digital/streaming viewership data, • Experience working with 3P conversion/outcome data providers (NIQ, Polk, EDO, or similar), • Exposure to both pre-sales (research, planning, recommendation) and post-sales (outcomes, renewal) measurement workflows, • GCP experience (BigQuery, Vertex AI, Composer) Compensation: $65/hr to $68/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's top billion-dollar global retailers. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs. ABOUT THE JOB We are seeking a dedicated Senior Specialist Store Technical Support with a strong background in Helpdesk and Customer Support to join our dynamic team. The ideal candidate will combine solid technical expertise with excellent communication skills to effectively engage both technical and non-technical stakeholders. In this role, you will partner closely with IT Engineering, Customer Operations, and other cross-functional teams to identify root causes of issues affecting store deployments and overall customer experience. You'll thrive in a collaborative environment, drive projects to resolution, and champion process improvements that enhance RADAR's operational efficiency and customer satisfaction. Responsibilities • Serve as a primary point of contact for store-related technical support, assisting both external customers and internal stakeholders., • Partner with IT Engineering and cross-functional teams to troubleshoot, diagnose, and resolve issues impacting customer store deployments., • Develop and maintain SQL queries and automation scripts to streamline processes, improve team productivity, and SLA adherence, • Manage and track support requests using service desk management tools, ensuring timely resolution and accurate documentation., • Utilize Field Service Management tools to coordinate field dispatches and maintenance activities, minimizing customer impact., • Collaborate with vendors and hardware partners to coordinate and streamline maintenance dispatches and technical store visits., • Identify trends and recurring issues through data analysis to develop proactive solutions and process improvements., • Write and maintain reports and procedural documentation., • Drive root cause analysis and ensure effective issue escalation and follow-up., • Maintain strong communication with customers, providing clear explanations of technical issues in accessible, non-technical terms., • You have 3+ years of experience in Helpdesk, Technical Support, or Customer Support roles., • You have proven ability to explain technical concepts to non-technical audiences clearly and effectively., • You are proficient SQL knowledge with the ability to analyze data and develop scripts that automate processes and drive team productivity., • You have strong problem-solving, analytical, and organizational skills with a high attention to detail., • You have experience using service desk management software to monitor KPIs and track customer issues., • You have hands-on experience with Field Service Management tools to coordinate dispatches and maintenance operations., • You have familiarity with ITIL frameworks, focusing on IT Service Management (ITSM) best practices., • You have demonstrated ability to evaluate, escalate, and drive issues to timely resolution., • You have previous experience supporting retail customers or store environments., • You have the ability to manage multiple priorities in a fast-paced environment while maintaining composure under pressure., • You have excellent written and verbal communication skills., • You have the ability to work independently and collaboratively across teams., • You have Intermediate knowledge of:, • Linux, Networking, • Terminal. CMD, • SSH and Telnet, • You have strong customer-centric mindset and ability to foster positive relationships with partners and hardware teams., • You have flexibility to work additional hours as required to provide issue resolution., • You have experience in field service coordination., • You have experience with automation frameworks or scripting languages (e.g., Bash, Python, PowerShell)., • You have a background in incident response or root cause analysis frameworks., • You have certifications such as CompTIA Network+, Linux+, ITIL Foundation, or equivalent., • You have intermediate knowledge of JavaScript Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

We are seeking a highly analytical Quant Investment Strategist / Portfolio Management Associate to join a top performing Credit team of a $100B asset manager. In this role, you will be the primary engine behind the modeling and analytics that drive our portfolio construction and asset allocation. Working directly with the Senior Portfolio Manager (PM), you will leverage advanced quantitative techniques to build and optimize credit portfolios, with a heavy focus on Structured Products (CLOs, ABS, RMBS/CMBS) and Private Credit (Direct Lending, Specialty Finance). You will bridge the gap between complex data architecture and real-world investment execution. Key Responsibilities Portfolio Construction & Optimization • Develop and maintain sophisticated models for Asset Allocation across various credit sub-sectors., • Implement optimization frameworks (e.g., Mean-Variance, Black-Litterman, or Factor-based) tailored for illiquid and structured credit assets., • Build cash flow engines and valuation models for complex Structured Products., • Develop proprietary risk models to capture non-linear risks inherent in private credit and leveraged structures., • Partner directly with the PM to provide data-driven insights for investment committee memos., • Monitor market signals and spread movements to suggest tactical rebalancing opportunities., • Synthesize large datasets of loan-level data to identify structural trends in the private credit landscape. Required • Advanced Degree (Masters or PhD): Required in a STEM field (Mathematics, Physics, Financial Engineering, Computer Science, or Statistics)., • Experience: 3–7 years of professional experience in a quantitative research or portfolio management environment., • Domain Expertise: Demonstrated knowledge of Credit Markets. Experience with Structured Products (CLOs) or Private Credit is highly preferred., • Programming: Expert-level proficiency in Python (NumPy, Pandas, Scikit-learn) or R., • Database/SQL: Ability to manipulate and query large-scale financial datasets., • Optimization: Deep understanding of stochastic calculus, linear algebra, and optimization libraries., • Tools: Familiarity with credit analytical tools (e.g., Intex, Bloomberg, or Moody’s Analytics) is a plus.

Job Title: Data Governance & MDM Specialist Duration: 12 months (strong potential to extend/convert) Pay Rate: $60-$80/hr Location: Hybrid, 3 days onsite – New York, NY 10022 Schedule: Standard business hours (9–5) Interview: 3 rounds Start Date: 5/18 (tentative) Job Description: Insight Global is seeking a Data Governance & MDM Specialist for a top financial services client within the investment banking and advisory space. This candidate will play a hands-on, technical role in building and operationalizing data governance and mastered data capabilities across a modern enterprise lakehouse environment. They will partner closely with business stakeholders, data architects, and engineering teams to implement data quality controls, automation, and stewardship-driven processes that ensure trusted, well-defined data for downstream platforms and analytics. This is an excellent opportunity for someone who enjoys working at the intersection of data, technology, and the business while helping shape enterprise-wide data governance practices. This is a hybrid role in Midtown, NYC requiring 3 days a week onsite. Day-to-Day: • Build and maintain concordance and survivorship processes, including matching rules and workflows, • Implement automation and human-in-the-loop review processes for mastered data, • Support data owners and stewards with business definitions, glossaries, and data domains, • Manage data issue logs and coordinate resolution across advisory businesses, • Design and implement data quality rules, monitoring, and dashboards, • Perform Python- and SQL-based analyses to investigate and resolve data issues, • Partner with data architects, Databricks engineers, and BA/PM teams to ensure governed data implementation, • Define and prioritize data quality metrics across key domains, • Prepare and distribute governance and data quality metrics and updates, • Maintain clear documentation of governance standards, rules, and decisions, • Support training materials and communications related to data governance, • Assist with defining and enforcing CRM data entry standards and validation rules Must-Haves: • 3–6 years of experience in data governance, data management, MDM, or analytics engineering, • Strong SQL and Python skills for data investigation, validation, automation, and data quality, • Experience working in modern data environments, including Databricks or similar cloud platforms, • Background supporting environments like investment banking, equities, hedge funds wealth, or asset management, • Effective cross‑functional partner and communicator with strong attention to detail and follow‑through Plusses: • Experience with concordance, survivorship, entity matching, or MDM processes, • Exposure to CRM or deal management platforms (DealCloud, Salesforce), • Experience with BI tools, Excel, and Jupyter notebooks, • Familiarity with enterprise lakehouse architectures Compensation: $60 - $80 per hour Exact compensation may vary based on several factors, including skills, experience, and education.

Job Description The MWM/EAM Application Support Analyst is responsible for administering, supporting, and optimizing Mobile Workforce Management (MWM) and Enterprise Asset Management (EAM) applications used across utility operations. This role ensures reliable system performance, resolves complex technical issues, supports integrations, and partners with both business and IT teams to maintain high service availability. The position requires strong analytical skills, deep knowledge of utility operations, and hands-on experience supporting enterprise applications in a regulated environment. Responsibilities • Administer, monitor, and maintain MWM and EAM applications to ensure stable and reliable performance., • Provide Tier 2/3 application support for operations, field, dispatch, and planning teams, including triage, troubleshooting, and root-cause analysis., • Track incidents and service requests in ServiceNow, coordinating resolution with internal teams and vendors; document fixes and workarounds to prevent recurrence., • Execute controlled changes, including configuration deployments, application upgrades, and patching activities., • Ensure data integrity, system security, and compliance with utility/IT controls (access management, audit evidence, change control, documentation)., • Write and optimize SQL queries for troubleshooting, data validation, and operational reporting., • Support integrations and data flows (APIs/interfaces) between MWM/EAM and dependent enterprise systems., • Develop and maintain support documentation such as runbooks, troubleshooting guides, and configuration notes., • Assist with installation, configuration, and troubleshooting of applications on Windows desktops and iOS mobile devices; work with IT teams to resolve device or deployment issues., • Conduct user training and provide ongoing support to ensure optimal application usage., • Perform regular system health checks and proactively identify improvement opportunities., • Assist with planning and execution of new application implementations or major upgrades., • Bachelor's degree or equivalent required., • 5+ years of experience in utility operations and related applications., • Strong background with enterprise asset management and/or mobile workforce management systems (meter management/AMI metering experience is a plus)., • Excellent problem-solving skills, with strong attention to detail., • Strong communication abilities to work effectively with both technical and non-technical stakeholders., • Solid understanding of utility operations and processes., • Hands-on experience supporting MWM and/or EAM systems in a production environment., • Strong SQL skills for troubleshooting, data validation, and reporting (Oracle and/or MS SQL Server preferred)., • Excellent analytical and problem-solving capabilities., • Strong interpersonal and communication skills., • Experience with ITSM and change control processes (ServiceNow/ITIL)., • Ability to support and troubleshoot application installations on Windows PCs and iOS devices, including connectivity, certificate/VPN, and compatibility issues., • Knowledge of IT security best practices., • Strong data analysis and reporting abilities., • Understanding of compliance expectations within regulated utilities., • Ability to translate business requirements into actionable technical solutions., • Proficiency in creating and maintaining support documentation., • Experience working within agile methodologies., • Experience with IFS MWM and/or specific EAM platforms (HxGN, Kloudgin)., • Exposure to meter management or AMI systems (e.g., Sensus, Itron, Neptune)., • Experience supporting integrations and APIs, and coordinating issue resolution across internal teams and vendors., • Exposure to scripting/automation tools (Python, PowerShell)., • Cloud infrastructure certification (e.g., AWS) is a plus.

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

Job Title: Program Manager – Data Analytics & Sales Operations Location: Strong Preference for onsite in New York, New York (Remote option available – EST time zone) Duration: 12 Months, potential extensions We are seeking a Program Manager III to join our client's Business Operations & Sales team. This role is ideal for a data-driven professional who thrives at the intersection of program management, analytics, and stakeholder engagement. You will be responsible for managing operational projects, delivering actionable insights, and enabling sales success through structured reporting and analysis. Must-Have Skills • Data analytics and reporting expertise, • Salesforce reporting proficiency, • Program management experience, • Stakeholder management, • Strong presentation and communication skills, • Google Suite & PowerPoint Nice-to-Have Skills • Tableau/Looker Studio experience, • SQL, R, Python knowledge, • General finance knowledge, • Retail industry familiarity Qualifications & Experience • Graduate/Post-graduate degree in a quantitative discipline (Mathematics, Business, Engineering, etc.)., • 4–5 years of experience in program management or sales operations within a large tech company OR 4–5 years of experience in strategy/management consulting at a leading consulting firm. Proficiency in: • Salesforce reporting, • SQL, • Google Suite (Sheets, Docs, Slides), • MS Office, • Strong stakeholder management and collaboration skills., • Excellent written and verbal communication skills., • Ability to deliver under tight timelines with high-quality outputs., • Knowledge of Finance, Tableau/Looker Studio, R/Python, or retail industry experience is a plus. Responsibilities • Lead and manage stakeholders across multiple projects from initiation to completion., • Research and share insights on industry trends, competitive landscapes, and business performance., • Identify, track, and model data around key business drivers., • Conduct forecasting analysis of inventory, revenue, store-level performance, and ROI impact of commercial incentives., • Solve complex challenges related to product performance and scale., • Create compelling visualizations of data and automate reporting to improve accessibility., • Package insights into structured presentations and documents for leadership and sales teams., • Provide actionable recommendations and detailed execution plans to cross-functional teams.

Job Description Desktop Engineer Location: New York, NY 10004 Salary Range: $85,000 - $100,000 THE OPPORTUNITY Group One Trading is looking to hire a full-time Desktop Engineer who is passionate about all aspects of user support, including monitoring, actively engaging end-users, troubleshooting, and providing a high level of customer service. In this hands-on, front-line support role on our Systems Team, we desire a candidate with strong problem-solving, customer-service, critical thinking, and communication skills who can collaborate across functional groups. WHO WE ARE We are committed to creating a diverse environment and are proud to be an equal opportunity employer. At Group One, we value transparency and collaboration coming from unique perspectives and backgrounds. We hire bright, analytical, and competitive people and train them to be the best in the industry. We strive to create a workplace in which all employees have an opportunity to participate and contribute to the success of the business. A healthy work-life balance is essential to sustaining our work culture and our overall success. We rely on our employees to spur creativity, enhance problem-solving, and help us thrive in the high-pressure trading industry. WHAT WE DO Group One Trading was founded in San Francisco in 1989, and we've become one of the largest privately held options trading firms in the United States, with brilliant people on our team in New York, Chicago, Philadelphia, and San Francisco. We continue to expand our presence on exchanges as the options trading space evolves and grows. Armed with expertise developed through a rigorous training program, our traders provide competitive liquidity across a broad range of securities. We manage portfolios of thousands of securities and electronically stream two-sided quotes across multiple exchanges. Group One is wholly owned by its founders and employees, and all our trading is proprietary, placing both the rewards for our success and managerial oversight directly in our team's hands. THE SKILLSET A broad, multi-platform skill set is what we look for, but there will be plenty of learning opportunities no matter how many of these skills you bring in with you. We also encourage applicants with various levels of technical backgrounds to apply. Our ideal Desktop Engineer possesses the following: • Minimum of 2 years of experience working in a technical role, • Proficient in providing support, troubleshooting, and configuring system hardware, • Expertise in troubleshooting Windows Desktop and Server Operating Systems, including Windows 10, 11, Windows Server 2016, 2019, and 2022, • Knowledgeable in Microsoft Active Directory/AAD/Entra, Azure, DHCP, DNS, Exchange Online, and deployment of Windows Updates, • Familiarity with Microsoft SQL Server & SQL Database Management, • Experience working with a VMware vSphere environment, • Demonstrated proactive problem-solving and critical thinking skills, • Understanding of fundamental networking concepts, including TCP/IP, FTP, and routing, • Ability to lift up to 30 lbs. and crouch beneath desks for equipment installation WHAT TO EXPECT AS A DESKTOP ENGINEER Within 1 month, you complete your initial orientation as well as become familiar with our environment, our infrastructure, and our business. You begin a comprehensive, cross-functional training plan to learn more about every aspect of our firm. Within 3 months, you will be proficient in system monitoring, proactively identifying potential issues in the proprietary trading system and responding effectively to incidents. You will begin to gain confidence in performing software maintenance tasks, troubleshooting basic networking issues, and providing user computer setup support. Additionally, your collaborative skills and proactive problem-solving approach will be evident as you actively engage with teams, contribute to documentation efforts, and propose improvements to enhance system stability and performance. Within 6 months, you will have gained proficiency in troubleshooting complex issues and can provide timely and effective support to all users. Additionally, you will begin to take on a leadership role in collaborative efforts, contributing significantly to proposing system enhancements, and fostering a culture of continuous improvement within the team. This is a hybrid role that requires a significant in-office presence to work directly with our technology team & trading staff, in-person. THE BENEFITS Our Desktop Engineer earns a competitive salary, including a performance-based bonus. We provide fantastic benefits, including 401(k) and Roth 401(k) retirement plans with employer matching, medical, dental, vision, generous vacation time, paid holidays, parental leave, and flexible spending accounts (FSA) for health care, dependent daycare, and parking or mass transit expenses. If this sounds like the right opportunity for you, apply today! Please fill out our initial 3-minute, mobile-friendly application for the Desktop Engineer role. We look forward to meeting you! Job Posted by ApplicantPro

Performance Marketing or SEO, with at least 1–2 years specifically focused on AI-driven strategies or AEO (Answer Engine Optimization). Proficiency in Python or SQL for data analysis and marketing automation. You’ll have the creative freedom to define the playbook for AI Marketing.

Founding Full Stack Engineer — Product & Marketplace Misprint is a YC-backed marketplace for Pokémon cards — think StockX for collectibles, built around real-time pricing, liquidity, transparency, and trust. We’re now hiring a Founding Full Stack Engineer to help us move faster on product. This role is more focused on building customer-facing marketplace features, seller tools, buyer experiences, frontend polish, and the full-stack systems that support them. You’ll work directly with the founders and engineering team to ship features across the marketplace, improve UX, and help turn Misprint into the default place collectors buy and sell Pokémon cards. What you’ll do You’ll work across frontend, backend, and product to build and improve: • Buyer and seller experiences across the marketplace, • Listing creation, seller onboarding, inventory tools, bids, asks, offers, checkout, and order flows, • Marketplace search, filters, card detail pages, collection/watchlist experiences, and pricing data displays, • Mobile-responsive UX, frontend polish, and React Native app improvements across core user journeys, • Admin and internal tools that help support/ops resolve customer issues faster, • Backend APIs, database models, permissions, scripts, and automation, • Integrations with payments, shipping, catalog, inventory, and analytics tools, • Work with product, growth, and lifecycle teammates to ship experiments that improve activation, conversion, retention, repeat purchase behavior, and marketplace liquidity What success looks like in your first 60–90 days • You’ve shipped meaningful improvements to core buyer or seller flows, • You understand our product, users, and marketplace mechanics well enough to propose improvements, • You’ve taken ownership of at least one major feature or product area, • You’re comfortable moving between frontend, backend, and database work, • You’re helping us move faster without creating fragile systems, • The product feels better because of the details you notice and fix Our stack • Frontend: React, Next.js, TypeScript, Tailwind CSS, • Backend/Data: Supabase, PostgreSQL, Python, Node.js, • Infrastructure: Vercel, AWS, Porter, • Payments/Marketplace: Stripe, Stripe Connect, • Analytics/Data: PostHog, SQL, internal pricing and catalog pipelines You might be a fit if you… • Have 3+ years of full-stack engineering experience, or equivalent experience building and shipping real products, • Are strong with React, Next.js, React Native, TypeScript, Tailwind, and responsive frontend development; React Native experience is a plus, • Are comfortable with PostgreSQL, data modeling, APIs, and backend logic, • Are interested in product and growth work, including onboarding, conversion, retention, lifecycle, and marketplace liquidity, • Have good product taste and care about UX, speed, and polish, • Can take a vague product problem and turn it into a shipped feature, • Communicate clearly, operate independently, and document as you go, • Like owning outcomes, not just completing tickets, • Are excited by marketplaces, payments, pricing data, trading cards, collectibles, or Pokémon Bonus points if you have experience with: • Marketplace products, • Stripe / Stripe Connect, • Search, filtering, or inventory systems, • Growth, conversion, onboarding, or retention experiments, • Data scraping, catalog matching, or pricing data, • Internal tools for support, ops, or admin teams, • Pokémon, TCGs, collectibles, or hobby marketplaces Logistics Location: In-person, New York City Type: Full-time Compensation: $130k–$180k salary + 0.25%–0.60% equity Start date: ASAP How to apply Please send: • Your LinkedIn, GitHub, portfolio, or anything that shows what you’ve built, • 1–2 examples of products, features, or systems you owned end-to-end, • A few sentences on why this role is interesting to you, • A quick note if you collect Pokémon cards, trading cards, sneakers, watches, or anything else collectible

We are seeking a senior, hands-on Enterprise Applications Engineer to serve as the technical owner and Tier-3 escalation point for our Shopify Plus ecommerce platform and its integrations with enterprise systems. This role will lead the Salesforce Commerce Cloud to Shopify Plus replatform from an integration and interoperability standpoint, then transition into senior ownership, cross-training, and escalation support across the enterprise application landscape. About the Role Senior technical ownership of the Shopify Plus implementation, including all enterprise integrations. Responsibilities • Shopify Plus Implementation & Ownership, • Serve as senior technical owner for the Salesforce Commerce Cloud ? Shopify Plus replatform from an enterprise integration perspective., • Design, build, and debug Shopify Plus integrations across ERP, OMS, POS, financial systems, and downstream analytics platforms., • Own production stability during cutover and post-launch, acting as Tier-3 escalation for cross-system incidents., • Enterprise Integrations & Ongoing Support, • Share responsibility with the development and integrations team for existing enterprise integrations beyond Shopify., • Build and maintain APIs, middleware, automation, and backfills supporting enterprise workflows., • Partner closely with the Enterprise Applications Support team to ensure clean escalation paths and durable fixes., • Data, BI & Analytics Partnership, • Work closely with BI & Analytics to validate data flows, reconcile system-of-record discrepancies, and remediate upstream integration issues., • Use SQL-based analysis to ensure operational and financial data accuracy across systems., • Team Enablement & Escalation, • Serve as the senior escalation point for complex integration and platform issues., • Cross-train development, integration, and support teams on Shopify Plus integrations and enterprise patterns., • Establish documentation, standards, and repeatable support models to reduce single-point-of-failure risk. Qualifications • Demonstrated, hands-on experience with Shopify Plus, including production integrations with ERP, OMS, POS, or financial systems., • Senior-level experience building and supporting enterprise integrations using APIs and event-driven architectures., • Strong SQL skills for data validation, reconciliation, and debugging across systems of record., • Strong experience with Python for integrations, automation, backfills, and data processing., • Experience acting as an escalation point for production incidents involving multiple systems., • Preferred Qualifications, • Experience with .NET in ERP environments (e.g., BlueCherry or similar)., • Retail, ecommerce, or omnichannel business experience., • Experience working alongside external agencies during platform implementations., • Experience working with dbt and modern ELT/data transformation tools (e.g., dbt Cloud, Fivetran, Airflow or similar), including supporting and troubleshooting downstream analytics and data model Role Clarifiers: This is not a frontend or Shopify theme/Liquid-only role. This is not a helpdesk or Tier-1 support role. This is an individual contributor role with no people management responsibilities. Equal Opportunity Statement We are committed to diversity and inclusivity.

Be part of an amazing story. Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Lead Data Scientist advances Macy’s enterprise data science strategy by leading complex initiatives that transform customer experience and business performance. This role manages group work, mentors data scientists, and partners with senior stakeholders to embed AI-driven solutions into critical workflows. By ensuring scalability and proof of value (POV), the Lead Data Scientist accelerates innovation and delivers measurable outcomes across the organization. What You Will Do • Lead the design and deployment of advanced data science and AI models for enterprise use cases that solve complex business challenges and influence strategic decisions., • Guide teams in applying Generative AI and Large Language Models (LLMs) to create intelligent, customer-centric solutions., • Oversee hypothesis generation, data requirements, and model development to ensure alignment with business priorities., • Evaluate proof of value (POV) for data science initiatives, determining scalability and pivoting strategies when needed., • Partner with senior stakeholders to translate analytics into actionable strategies that drive retail innovation., • Collaborate with Data Engineering and Architecture teams to implement robust, scalable data pipelines and enterprise data assets., • Ensure responsible AI practices, including governance frameworks and bias mitigation, in all deployed solutions., • Mentor and develop data scientists, fostering a culture of collaboration, technical excellence, and continuous learning., • Communicate insights through compelling visualizations and clear storytelling to influence decisions., • Stay ahead of emerging data science and AI trends to enhance Macy’s capabilities and competitive advantage. Skills You Will Need • Technical Acumen: Proficient in Python, R, SQL, and cloud platforms such as Google Cloud Platform; experienced with big data tools (Spark, Hadoop) and visualization tools (Tableau, Power BI); understands machine learning concepts and generative AI applications., • Stakeholder Management: Builds strong partnerships with business leaders to embed data science into decision-making processes and ensure adoption of solutions., • Communication: Delivers clear, compelling insights through written, verbal, and visual storytelling to diverse audiences. Who You Are • Brings 5+ years of experience applying data science in business environments, including experience leading group work and mentoring others; advanced degree preferred., • Demonstrates fluency in advanced algorithms, statistical methods, and AI techniques., • Experienced in regression, clustering, time-series analysis, and machine learning., • Comfortable influencing senior stakeholders and managing priorities in fast-paced environments., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.

Business Analyst, Data Insights G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Business Analyst, Data Insights will act as a high-visibility strategic partner and primary liaison between our business departments and the Data Insights team. Reporting to the VP Data Insights, you will bridge the gap between technical complexity and fashion-forward business growth by managing requests, troubleshooting operational issues, and delivering actionable insights that influence our global strategy. Key Responsibilities • Strategic Liaison & Support: Act as primary point of contact for business units (Sales, Production, IT, Finance, Marketing, Ecommerce), managing change requests and troubleshooting daily data challenges, • Insight Generation & Root-Cause Analysis: Analyze complex data to identify trends and perform deep-dives to explain the “why” behind performance shifts, providing clear visibility to leadership, • Workflow & Requirements Documentation: Build deep content knowledge on how business users interact with data. Document high-level workflows and translate them into clear, actionable technical requirements, • Solution Development & Validation: Define and validate transformation logic for reporting and analytics. Partner in the development process to ensure proposed solutions address core business needs, • Testing & Implementation: Develop and facilitate user acceptance testing (UAT) plans. Provide end-user training to support successful implementation and adoption across the brand., • Process & Governance: Proactively identify data quality issues and recommend sustainable solutions that align with established data governance standards., • Executive Readiness: Prepare data visualizations and “executive-ready” briefing materials for the VP to present to senior leadership. Qualifications Required: • Bachelor’s degree in Business, Economics, Finance, Computer Science, or a related field, • 3+ years of Business Analyst experience, ideally within the Retail, Fashion or IT sectors, • Proficiency in Data Visualization and BI Design using Power BI, • Experience supporting operations across wholesale, retail, and eCommerce channels, with an understanding of multi-channel business dynamics, • Experience with Azure platform, • Solid understanding of Data Modeling, dashboard optimization, and transformation logic, • Strong ability to document business processes and translate messy data into structured insights, • Ability to build strong relationships and bring about cooperation from cross-functional teams and technical stakeholders, • Agility to manage multiple priorities in a fast-paced environment Preferred: • Proficiency in SQL for data extraction and familiarity with Python or R for automation, • Understanding of industry-specific KPIs like sell-through, inventory turn, or e-commerce metrics, • Experience building “what-if” models to help evaluate the impact of business or vendor changes What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $90,000 - $100,000 (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.