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Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Junior Investment Analyst (Buy-Side) Type: Contract Compensation: $105/hour Location: Remote Commitment: 10–20 hours/week Role Responsibilities • Conduct equity and macroeconomic research across sectors to support AI model training., • Build and interpret financial models (DCF, comps, scenario analysis) to enhance AI reasoning., • Analyze earnings reports, filings, and market data for improved model outputs., • Assist in generating investment theses and risk assessments to refine AI-generated outputs., • Evaluate AI-generated outputs for financial accuracy and reasoning quality. Must-Have • 1–3 years of experience in investment banking, equity research, or buy-side roles., • Strong understanding of financial statements and valuation techniques., • Proficiency in Excel; familiarity with financial modeling., • Clear written and verbal communication skills., • CFA Level I/II candidate., • Exposure to public equities or asset management., • Upload resume, • AI interview based on your resume

Job Description First San Francisco Partners (FSFP) is a leading business advisory and information management consultancy dedicated to helping organizations leverage their data to improve strategic decision-making, reduce risk, create operational efficiencies and fuel unprecedented business success. Our consulting services include data management, data governance, Collibra (data governance and data quality software) implementation/adoption, data architecture, data quality, master and reference data management, metadata management and data privacy. Kelle O'Neal founded the company in 2007 and is its Chief Executive Officer. FSFP's leading position and strong reputation in our industry is because of our experienced senior leaders and dedicated consultants, business analysts and sales, administrative and marketing staff. FSFP serves clients throughout the U.S., including large consumer brands, notable financial institutions and other organizations who want to make their information (data) actionable. FSFP's culture is centered on teamwork and a shared passion for what we do. We believe in treating clients (and one another) with respect and delivering measurable results for clients. Our FIRST values (Focus, Integrity, Resourcefulness, Skillfulness and Teamwork) guide our interactions. The Data and Information Architect is a client-facing lead responsible for shaping enterprise data and information architectures that align to business strategy and accelerate adoption of data governance, master and reference data, metadata, and data quality capabilities. This person blends architecture rigor with consulting judgment: they design extensible target-state architectures, translate business needs into pragmatic implementation roadmaps, and partner with stakeholders across business and IT to deliver outcomes that stick. The ideal candidate has progressed through roles such as data analyst, data modeler, data steward, and architect. That breadth lets them connect strategy, design, and execution rather than treat them as separate workstreams. They are equally comfortable advising executives on a roadmap and sitting with a development team to validate a logical model or review a metadata asset model. Domain Expertise • Data Architecture and Modeling: Develops and maintains enterprise high-level data models and targeted subject area models at the conceptual, logical, and physical levels. Captures data requirements from business strategies and data initiatives, designs for current and future state, and reviews physical implementations against enterprise data requirements. Maintains an expert understanding of cloud, hybrid, and on-premise storage patterns, including the security, access, and performance implications of each., • Information Architecture: Designs the structures that make information findable, usable, and trustworthy. Defines business glossaries, taxonomies, reference data structures, and asset models that anchor the meaning of data across the organization. Aligns information architecture with content, search, and analytics needs so that downstream consumers can locate and interpret data without having to reverse-engineer it., • Data Governance and Metadata Management: Designs and implements enterprise data governance and metadata management solutions. Translates business and technical requirements into Collibra (or comparable platform) configurations, including operating models, asset models, workflows, and stewardship processes. Develops metagovernance recommendations, designs automated metadata import and export methods, and recommends curation processes for high-quality content., • Master and Reference Data Management: Familiar with industry-standard MDM and RDM patterns and able to advise on implementation styles (registry, centralized, co-existence, hybrid) based on use case fit. Integrates MDM into the broader data architecture through APIs, batch, or streaming, and aligns match/merge, hierarchy, and stewardship workflows with the governance operating model., • Data Quality and Lineage: Assesses and improves data quality through profiling, rule definition, and ongoing monitoring. Implements lineage capture so that data flow from source to consumption is visible and explainable. Recommends and configures capabilities for business and technical metadata, data lineage, data profiling, and issue or request management., • Regulatory and Privacy Awareness: Maintains a working understanding of major data-related regulations (HIPAA, GDPR, CCPA, and equivalents) and how they shape architecture decisions, classification schemes, access controls, and retention design.Key Responsibilities, • Lead data and information architecture engagements end to end, including strategy, design, implementation oversight, education, standards creation, and ongoing measurement., • Conduct workshops and interviews with business and IT stakeholders to assess current-state maturity, identify pain points, and shape a future-state roadmap., • Identify, document, and prioritize use cases that drive the strategy and roadmap, and translate them into target-state designs., • Develop and maintain enterprise data models, asset models, and architecture patterns for data layers, data stores, integration, and provisioning., • Configure and oversee implementation of data governance and metadata platforms (e.g., Collibra), including operating model alignment, workflow design, and bulk metadata loads., • Perform architecture and technology gap analyses, recommend solutions, and produce implementation roadmaps that move clients toward future state., • Ensure documentation for models, architectures, and standards is accurate, well organized, and curated for ongoing use., • Develop and deliver training materials, use case documentation, and implementation specifications that support adoption beyond the engagement., • Provide thought leadership on emerging practices, including data mesh, data fabric, semantic layers, and AI-supported governance.Technical Skills and Tools, • Data Catalog and Governance Platforms: Hands-on expertise with metadata tools such as Collibra, Alation, Informatica CDGC, Microsoft Purview, or Unity Catalog., • Data Modeling Tools: Proficiency with enterprise data modeling tools (e.g., erwin, ER/Studio, PowerDesigner, or equivalents) and the ability to produce conceptual, logical, and physical models that hold up under review., • Cloud Data Platforms: Familiarity with modern cloud data ecosystems, including Databricks and Unity Catalog, Snowflake, and major hyperscaler data services. Understands how governance policies (access controls, classifications, lineage) apply within those environments., • MDM and RDM Tools: Practical experience with at least one MDM platform (e.g., Informatica MDM, Reltio, Profisee, or Semarchy). Understands match/merge configuration, hierarchy management, and steward workflows., • Data Quality and Lineage: Experience with data quality tools (e.g., Informatica Data Quality, Collibra Data Quality, Ataccama) and lineage or observability capabilities, whether tool-driven or implemented through metadata integration., • SQL and Databases: Strong SQL skills and a solid grasp of relational database design. Comfortable working across platforms such as Oracle, SQL Server, Postgres, and cloud-native equivalents. Pay Transparency Notice: First San Francisco Partners will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) Benefits Summary At First San Francisco Partners, the health and safety of our employees and their families is a top priority. We support our employees in all aspects of their life, including health and financial well-being. Full Time employees scheduled to work 40 hours per week are offered a variety of benefits including medical, dental and vision insurance; a 401(K) savings plan, disability coverage; life and accident coverage, vacation time and paid holidays. Temporary Consultants are not eligible for First San Francisco benefits but can participate in other company incentives including our Employee Referral Program. EEOC Statement First San Francisco Partners is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer, making hiring decisions without regard to race, color, religion, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

Job Description Overview We are seeking a Microsoft Fabric Data Engineer with Agentic AI experience to design, build, and maintain scalable data solutions within the Microsoft Fabric ecosystem. This role is responsible for developing robust data pipelines, implementing Medallion architecture (Bronze, Silver, Gold layers), and ensuring high-quality, analytics-ready datasets. The ideal candidate will have hands-on experience with Microsoft Fabric components (Data Factory, OneLake, Lakehouse, Warehouse, and Power BI), strong data engineering fundamentals, and the ability to support advanced analytics and AI initiatives. Key Responsibilities • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (Data Factory, Pipelines, Notebooks), • Implement and manage Medallion architecture (Bronze, Silver, Gold layers) to ensure data quality, governance, and usability, • Ingest, transform, and integrate data from multiple structured and unstructured sources, • Optimize data workflows for performance, scalability, and cost efficiency, • Build and maintain Lakehouse and Data Warehouse solutions within Fabric, • Ensure data reliability through monitoring, logging, and error-handling mechanisms, • Collaborate with stakeholders to translate business requirements into scalable data solutions, • Enforce data governance, security, and compliance best practices, • Document data models, pipelines, and system architecture, • Contribute to roadmap planning and platform evolution Database & Power BI Oversight • Design enterprise-grade data models optimized for Power BI and analytics workloads, • Oversee creation and management of semantic models and datasets within Fabric, • Oversee dataset performance, refresh strategies, and capacity management in Power BI, • Implement data modeling best practices (star schema, normalization where appropriate), • Support development of dashboards and reports by providing curated, high-quality datasets, • Manage access control, row-level security (RLS), and data lineage visibility, • Manage Power BI capacity, dataset refresh strategies, and scalability considerations, • Collaborate with BI developers to optimize DAX performance and reporting efficiency, • Monitor usage and adoption metrics to improve data accessibility and usability AI Readiness & Advanced Analytics • Prepare and structure data to support AI/ML use cases within Microsoft Fabric and Azure ecosystem, • Enable feature engineering by delivering clean, enriched, and well-governed datasets, • Support integration with AI tools such as Azure Machine Learning, Fabric Data Science, and Copilot experiences, • Implement data pipelines that support real-time or near real-time analytics where needed., • Ensure datasets are scalable and aligned with AI model training requirements., • Promote best practices for data versioning, reproducibility, and experimentation. Qualifications • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field., • 7+ years of experience in data engineering or related roles., • Hands-on experience with Microsoft Fabric or closely related tools (Azure Synapse, Azure Data Factory, Power BI)., • Strong expertise in Medallion architecture and modern data lake/lakehouse patterns., • Proven experience building and maintaining data pipelines (ETL/ELT)., • Proficiency in SQL, Python, and/or Spark., • Experience with Lakehouse architectures and distributed data processing., • Strong understanding of data modeling and data warehousing concepts. Desired Skills & Competencies • Experience with OneLake, Delta Lake, and Fabric-native workloads., • Experience with Data Agents, Copilot Studio and Microsoft Foundry, • Familiarity with CI/CD pipelines for data solutions., • Power BI adoption and user satisfaction across business units., • Delivery of AI-ready datasets and agentic AI pilot outcomes, • Security compliance and incident prevention Key Competencies • Strong problem-solving and analytical thinking, • Attention to detail and data quality focus, • Ability to work cross-functionally with technical and business teams, • Excellent communication and documentation skills, • Continuous learning mindset in evolving data and AI technologies Performance Metrics • Data integrity and availability across all departments, • System uptime and query performance, • Power BI adoption and user satisfaction across business units, • Reduction in time-to-action based on data insights, • Successful onboarding and reliability of third-party integrations, • Delivery of AI-ready datasets and agentic AI pilot outcomes, • Security compliance and incident prevention, • Adoption of best practices as informed by industry trends This role is essential for Garan Apparel's enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration—while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence. Salary: $150,000

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Artifact Expert — Data Analyst Type: Contract Compensation: $80–$120/hour Location: Remote Role Responsibilities • Review existing analytics slides, SQL/Python notebooks, and sheets. Provide detailed, constructive feedback to enhance clarity and accuracy., • Create original analytics artifacts such as insight decks, ad-hoc analyses, and A/B-test write-ups. Ensure high standards of analytical rigor., • Annotate and comment on artifacts to improve structure and narrative. Elevate the analytical rigor of each piece., • Apply data-analysis expertise to ensure artifacts reflect realistic, high-quality professional output. Must-Have • 4+ years of professional experience in data analysis, analytics engineering, or data science., • Comfortable with SQL, Python or R, and presenting findings to non-technical stakeholders., • Strong attention to detail and written communication., • Upload resume, • AI interview based on your resume

Job Description We are seeking a motivated and detail-oriented Business Analyst with 3–4 years of experience to join our growing team. The ideal candidate will have hands-on experience working in domains such as Retail, Banking, Financial Services, Healthcare, or Insurance. This role involves working closely with business stakeholders and technical teams to gather requirements, analyze processes, and support the delivery of high-impact solutions. Key Responsibilities: • Gather, analyze, and document business and functional requirements, • Work with stakeholders to understand business needs and translate them into actionable solutions, • Create user stories, process flows, and functional specifications, • Support data analysis and validation using tools like SQL or Excel, • Collaborate with development, QA, and product teams throughout the project lifecycle, • Participate in Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives), • Assist in UAT (User Acceptance Testing) and defect tracking, • Ensure clear communication between business and technical teams Required Qualifications: • 3–4 years of experience as a Business Analyst, • Experience in at least one of the following domains:, • Retail, • Banking / Financial Services, • Healthcare, • Insurance, • Strong understanding of SDLC (Software Development Life Cycle) and Agile methodologies, • Experience with tools like:, • Jira / Confluence, • Excel / SQL (preferred), • Excellent communication and stakeholder management skills Preferred Skills: • Experience with API integrations or data mapping, • Knowledge of payment systems, claims processing, or retail workflows (depending on domain), • Exposure to digital transformation or system modernization projects What We’re Looking For: • Strong analytical and problem-solving skills, • Ability to work in a fast-paced, collaborative environment, • Attention to detail and ownership mindset, • Ability to bridge the gap between business and technology Employment Type: Full-time / Contract (depending on project) Company Description We are a growing staffing and consulting firm specializing in placing skilled professionals across industries such as Banking, Financial Services, Retail, Healthcare, and Insurance. Our focus is on connecting high-quality talent with the right opportunities through a structured and results-driven approach. We work closely with both clients and candidates to ensure strong alignment, offering support throughout the hiring process—from profile optimization and interview preparation to successful onboarding. Our goal is to build long-term partnerships and deliver consistent value through quality placements and reliable execution. Company DescriptionWe are a growing staffing and consulting firm specializing in placing skilled professionals across industries such as Banking, Financial Services, Retail, Healthcare, and Insurance. Our focus is on connecting high-quality talent with the right opportunities through a structured and results-driven approach. We work closely with both clients and candidates to ensure strong alignment, offering support throughout the hiring process—from profile optimization and interview preparation to successful onboarding. Our goal is to build long-term partnerships and deliver consistent value through quality placements and reliable execution.We are a growing staffing and consulting firm specializing in placing skilled professionals across industries such as Banking, Financial Services, Retail, Healthcare, and Insurance. Our focus is on connecting high-quality talent with the right opportunities through a structured and results-driven approach.\r\n\r\nWe work closely with both clients and candidates to ensure strong alignment, offering support throughout the hiring process—from profile optimization and interview preparation to successful onboarding. Our goal is to build long-term partnerships and deliver consistent value through quality placements and reliable execution.

Job Description Company Description Curinos empowers financial institutions to make better, faster, and more profitable decisions through industry-leading proprietary data, technologies, and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos’ technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to-market decisions in an increasingly competitive market. Curinos operates under a hybrid modality. This position is based in the New York City metropolitan area. Job Description Curinos is seeking an Associate to support the Line of Business (LOB) team. This is a data-first role sitting at the intersection of banking intelligence, analytical storytelling, and business strategy. You will work closely with internal teams to transform complex financial datasets into compelling, client-ready narratives that drive decision-making across the organization — combining the rigor of a data analyst with the communication skills of a strategic advisor. The ideal candidate is comfortable living in data, has a strong foundation in SQL and quantitative analysis, brings genuine interest in the financial institutions and financial services space, and knows how to make numbers tell a story. Responsibilities • Query, clean, and analyze large datasets to surface trends in commercial banking, deposit behavior, and support, • Build client-specific analytical stories — translating data into structured, insight-driven narratives that inform strategic decisions, • Develop polished Excel analyses and PowerPoint deliverables that communicate complex findings clearly to both internal teams and external audiences, • Support hypothesis development and testing through rigorous, numbers-driven analysis, • Contribute to the full analytical lifecycle — from defining the problem and structuring the data to designing the output and presenting the findings, • Collaborate with colleagues across the LOB and partner divisions to ensure Curinos is delivering market-leading insights and solutions This role blends analytical depth with strategic communication. You will spend meaningful time in the data — querying, structuring, and analyzing — but equally important is your ability to step back and craft a coherent story from what you find. While you will not be managing client relationships from day one, the work you produce will directly shape client-facing deliverables and you will grow into that external-facing capacity over time. Salary Range: $80,000 - $90,000 (plus Bonus) Desired Skills & Expertise • Strong SQL proficiency — you will use it frequently, • Strong Excel and data analysis skills — you will use it daily, • Polished PowerPoint skills and data storytelling ability — translating analysis into clear, executive-ready outputs, • Background in financial services, economics, business analytics, or a related quantitative field, • Genuine interest in financial institutions and financial services — familiarity with commercial banking or deposit analytics is a strong plus but not required, • Competitive benefits, including a range of financial, health, and lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours, and part-time options depending on role requirements, • Unlimited PTO policy, floating holidays, volunteering days, and a day off for your birthday, • Learning and development tools to support your career growth, • Work with industry-leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the “perfect candidate” doesn’t exist, and that people can be put off applying if they don’t meet all the requirements. If you’re excited about working for us and have relevant skills or experience, we encourage you to apply. You could be just what we need. If you need any adjustments to support your application, such as alternative formats, special requirements to access our buildings, or adjusted interview formats, please contact us at , and we’ll do everything we can to help. Inclusivity at Curinos We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

SLC Management is seeking a Director, Senior Data Analyst in New York to drive the strategy and roadmap for investment data products. Ideal candidates will have over 7 years in data analytics, strong skills in SQL and Python, and experience with visualization tools.

You will deliver actionable insights from complex data, use SQL for data modeling, and collaborate with technical and non-technical audiences. A healthcare analytics company seeks a professional to enhance data-driven decision-making through analysis and reporting in a fast-moving environment.

This role will involve exploratory data analysis, data cleansing, writing SQL scripts, and creating reports to support business operations. A healthcare technology company is seeking a Remote Junior Data Analyst for their New York headquarters.

Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Strong data m

Java (50%), JavaFX, React, SQL Server, VB.

A confidential organization is seeking a.This position is ideal for a seasoned engineer who thrives in solving complex technical challenges, contributes to system design decisions, and delivers reliable, scalable software with a high degree of autonomy.The role also includes opportunities to support

Python, JavaScript, Go, or Java) and experience working with SQL databases. Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.

Python, JavaScript, Go, or Java) and experience working with SQL databases. Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Python, JavaScript, Go, or Java) and experience working with SQL databases. Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Python, JavaScript, Go, or Java) and experience working with SQL databases. Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Python, JavaScript, Go, or Java) and experience working with SQL databases. Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Convert information gathered into specific details including data sources, data and user types, interface components, interface navigation needs, reporting needs and administrative system needs. Analyze and document business requirements and processes; communicate requirements to technical personnel

Solid knowledge of relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure

Solid knowledge of relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure

Solid knowledge of relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure

Santander Corporate & Investment Banking is seeking an Analyst to support the Structured Finance business with a focus on strategy, business development support, market intelligence, and transaction analytics. The Analyst will partner with senior originators and product team members to help drive pi

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

Business Analyst - Business Cards & Payments. As a Senior Business Analyst at Capital One, you will apply your strategic and analytical skills to major company challenges.

We cleanse, enrich, and use large scale card and debit data from Capital One and, more recently, Discover, as well as national metadata datasets around merchants, places, and more. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statist

About the Opportunity DMI, LLC is seeking a Senior Software Developer for Systems Software to join us.Duties and Responsibilities The Senior Software Developer for Systems Software designs, develops, and delivers enterprise‑grade software solutions supporting TSA’s mission‑critical applicatio

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

App Router codebase (routing/data fetching, caching strategy, component architecture, error handling, analytics instrumentation). Improve developer velocity by shaping tooling and practices (testing strategy with Playwright, observability with Datadog, CI hygiene).

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

Scrum Master / Business Analyst We are seeking a Scrum Master / Business Analyst to lead IT automation initiatives.

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

Role Overview: The Finance Analyst (Consultant) will partner with the FP&A team during the rollout of a new reference data tool to support our clients standard business hierarchy set up. BizTek People is in search for an experienced Financial Analyst (Consultant) in NYC! Location: New York City (Hyb

Analyze fan behavior, demographics, media consumption, and engagement trends using the WNBA's Fan Data Platform (FDP), with a strong emphasis on first-party data, leveraging SQL and Snowflake to query, transform, and analyze large datasets. Help maintain centralized fan data assets and contribute to

Strong knowledge of reconciliation processes, GL data and investor reporting. Work with CST and data remediation teams to understand existing manual waterfall schedules, GL Intacct extracts and Investor PCAP reports. Partner with the integration team to define data mappings, validation rules and exc