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We are seeking a highly skilled Senior Data Analyst with a strong focus on ETL development and advanced SQL to join our Business Intelligence and Data Management team. This role is responsible for supporting enterprise data warehouse initiatives and translating business requirements into scalable ETL solutions that drive analytics and decision-making across the organization. This is a hands-on technical role that blends data analysis, ETL development, and business collaboration. The ideal candidate is comfortable working directly with data warehouse structures, investigating data issues, and documenting transformation logic while partnering with cross-functional stakeholders. Key Responsibilities • Design, develop, and maintain ETL processes supporting the enterprise data warehouse, • Translate business requirements into ETL specifications and source-to-target mappings, • Write advanced SQL to analyze, validate, and transform large datasets, • Work with fact and dimension tables within a dimensional data model, • Investigate and resolve data quality issues and discrepancies, • Collaborate with analysts, developers, and business stakeholders on data solutions, • Document ETL logic, transformation rules, and technical processes, • Support integration efforts across systems and data sources, • Optimize existing ETL pipelines and data workflows, • Contribute to enterprise analytics and reporting initiatives Requirements • Advanced SQL expertise (required), • Experience working with enterprise data warehouse environments, • Strong understanding of dimensional modeling (star schema, fact & dimension tables), • Hands-on experience with ETL processes and data pipelines, • Experience translating business requirements into technical solutions, • Strong data analysis and troubleshooting skills, • Ability to work independently in a fast-paced environment, • Strong documentation and communication skills, • Experience managing multiple priorities and projects Preferred Qualifications • Experience with Snowflake, Oracle, SQL Server, or similar platforms, • Experience with ETL tools such as DBT, Informatica, or Coalesce, • Experience with REST APIs or data integrations, • Python experience for data processing or automation, • Experience supporting marketing or customer analytics data Why Join Us You’ll be part of a collaborative Business Intelligence and Data Management team supporting enterprise-wide analytics initiatives. This role offers the opportunity to work with modern data technologies, build scalable data solutions, and directly impact business decision-making across the organization. You’ll partner with cross-functional teams and contribute to high-visibility projects that shape how data is leveraged across the company. Application Note: We are currently migrating to a new career system. Please apply using the link below on our new career page. Thank you for your patience and flexibility. Apply here: The expected salary range for this position is $95,000 to $105,000 annually. Actual compensation will be determined based on experience, skills, internal equity, and other factors permitted by law. To support our commitment to being an employer of choice, we offer comprehensive and competitive health, wellness, and additional benefits to eligible full-time team members. Benefit eligibility may vary based on location, average hours worked, and length of service. Benefits may include: • Medical, dental, vision, life, and disability insurance for the associate and eligible dependents, • Flexible Spending Account (FSA), • Health Savings Account (HSA), • 401(k) retirement savings program, • Mental health resources and Employee Assistance Program (EAP), • Paid vacation time (accrued based on hours worked and tenure), • Paid company holidays, • Employee discount across our family of brands, • Potential eligibility for annual merit-based compensation increases, where applicable Exact benefit terms, conditions, and eligibility requirements are governed by official plan documents and applicable law. The Company reserves the right to modify, amend, or terminate benefit plans and programs at any time.

Operational AI Insights Analyst Location: On-site in Farmingdale, NY Our confidential client is a well-established aerospace–adjacent manufacturer that is investing in modern analytics and practical AI to super-charge decision-making across operations, supply-chain, and sales. As the first dedicated AI Analyst, you’ll turn messy, real-world datasets into clear answers that tell teams what to build, buy, and sell next. If you are early-to-mid career, love translating business puzzles into code-driven insights, and want daily access to leaders who will use your work, this is a rare ground-floor opportunity. Compensation & Benefits • Competitive base salary plus annual performance bonus., • Comprehensive medical, dental, and vision coverage; 401(k) with company match; generous PTO & holidays., • Professional development budget and direct mentorship from C-suite and IT leadership. Key Projects You’ll Own • Real-time Sellable-Stock Engine – automate today’s manual spreadsheets so sales can quote inventory with confidence., • Production & Materials Forecasting – build lightweight predictive models that align capacity, demand, and purchasing windows., • Purchasing Optimization – surface buy-now vs. wait recommendations that balance lead-times, costs, and contract dates., • Self-Service Dashboards – deliver intuitive Power BI/Excel/SQL visualizations that operations and finance teams can refresh on their own. Day-to-Day Responsibilities • Translate diverse business questions into experiments, proofs-of-concept, and AI-assisted solutions., • Develop Python or low-code scripts that pull from SQL, ERP/MRP, and Excel sources to automate analysis workflows., • Build, iterate, and document dashboards or reports; present insights to stakeholders in clear, non-technical language., • Evaluate model and LLM output for accuracy, reliability, and hallucination risk; recommend guardrails where needed., • Champion data quality: flag anomalies, close gaps, and streamline collection processes across departments., • Stay current on practical AI/ML advances that can be safely adopted inside a mid-sized manufacturing environment. Ideal Background • Bachelor’s degree in data/Analytics, Information Systems, Engineering, Finance, or similar field -or- equivalent hands-on experience., • Proficiency with Python (or R/Julia), SQL querying, and advanced Excel; experience wiring APIs or basic software architecture is a plus., • Experience working with business intelligence platforms such as Power BI, Tableau, or comparable tools, along with strong knowledge of forecasting methods and statistical analysis principles., • Proven ability to turn ambiguous business problems into data models and actionable recommendations., • Comfort working onsite in a small, highly collaborative team; excellent communication and curiosity are must-haves., • Bonus points for prior exposure to manufacturing, supply-chain analytics, or aerospace/fastener industries. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS

A leading real estate investment firm is seeking an experienced Fixed Income Performance Attribution Analyst with hands-on experience with Fixed Income Portfolio Analytics and building yield curves. This role is for someone who is currently embedded inside an asset manager working as a Fixed Income Performance Attribution Analyst. This firm is expanding its investment capabilities across real estate assets, structured products, and both residential and commercial real estate mortgages and lending. As part of this growth, they are implementing more robust Fixed Income Portfolio Analytics and Performance Attribution, and are looking for someone with deep experience developing, extending, and integrating applications such as FactSet attribution solutions. There is a priority for someone who can explain why the performance occurred, not just how the application works. This Candidate should have (3-7 years) Fixed Income Portfolio Attribution and Yield Curve Modeling experience and a strong understanding of the Yield Curve, Spreads, and Duration changes that can impact the performance of a large commercial and residential real estate investment portfolio. Responsibilities Include: • Calculation of investment returns and performance attribution using sophisticated attribution methodologies, • Analyze and explain drivers of performance, • Interacting with investment professionals throughout the firm., • Daily work will involve data creation, report generation, and presentation of insightful analysis to senior managers, portfolio managers, and quantitative analysts. Converting numbers to narrative., • The candidate will be expected to work on strategic projects based on portfolio performance data and work with IT to automate the analysis and reporting of performance data. Requirements: • Must be able to configure fixed income attribution models (e.g., Yield Curve, Spread, and Carry decomposition)., • Fixed Income Specialization: Experience with securitized products, CMBS (Commercial Mortgage-Backed Securities), and private debt, which are critical for real estate-focused firms., • Technical Skills: Proficiency in SQL, Python, or APIs to automate the ingestion of proprietary real estate data into fixed income attribution models., • Real Estate Domain Knowledge: Familiarity with metrics like Cap Rates, NAV, and FFO, and how these interact with debt financing in a complex investment portfolio., • The role is 100% REMOTE, • Master's or CFA preferred, • The role requires superb communication skills., • The applicant must have 3+ years of relevant experience in fixed-income and real estate investments with a hedge fund or an asset management firm., • This position requires a top university degree (advanced is preferred) in a quantitative discipline (mathematics, statistics, engineering, etc),, • Master's or CFA preferred, • The role requires quantitative abilities, statistical programming skills in Python, SQL, R., • Tableau data visualization skills are required, • The role requires experience with Brinson, FactSet, Bloomberg PORT, Aladdin, and Risk Metrics Keywords: FactSet, Performance Analyst, Attribution, Brinson, Fixed Income, Real Estate Portfolio Management, Python, Bloomberg, Investment Performance Reporting Please send resumes to Jim Geiger:

Analytics, BI, and data science. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e. Proven experience architecting a

No C2C at this moment, any visa is okay.HTML5 with Python Linux scripting - e.MUST HAVE: HTML5, Javascript, CSS, Java, Python.Be comfortable with Linux for development.

Operational AI Insights Analyst Location: On-site in Farmingdale, NY Our confidential client is a well-established aerospace–adjacent manufacturer that is investing in modern analytics and practical AI to super-charge decision-making across operations, supply-chain, and sales. As the first dedicated AI Analyst, you’ll turn messy, real-world datasets into clear answers that tell teams what to build, buy, and sell next. If you are early-to-mid career, love translating business puzzles into code-driven insights, and want daily access to leaders who will use your work, this is a rare ground-floor opportunity. Compensation & Benefits • Competitive base salary plus annual performance bonus., • Comprehensive medical, dental, and vision coverage; 401(k) with company match; generous PTO & holidays., • Professional development budget and direct mentorship from C-suite and IT leadership. Key Projects You’ll Own • Real-time Sellable-Stock Engine – automate today’s manual spreadsheets so sales can quote inventory with confidence., • Production & Materials Forecasting – build lightweight predictive models that align capacity, demand, and purchasing windows., • Purchasing Optimization – surface buy-now vs. wait recommendations that balance lead-times, costs, and contract dates., • Self-Service Dashboards – deliver intuitive Power BI/Excel/SQL visualizations that operations and finance teams can refresh on their own. Day-to-Day Responsibilities • Translate diverse business questions into experiments, proofs-of-concept, and AI-assisted solutions., • Develop Python or low-code scripts that pull from SQL, ERP/MRP, and Excel sources to automate analysis workflows., • Build, iterate, and document dashboards or reports; present insights to stakeholders in clear, non-technical language., • Evaluate model and LLM output for accuracy, reliability, and hallucination risk; recommend guardrails where needed., • Champion data quality: flag anomalies, close gaps, and streamline collection processes across departments., • Stay current on practical AI/ML advances that can be safely adopted inside a mid-sized manufacturing environment. Ideal Background • Bachelor’s degree in data/Analytics, Information Systems, Engineering, Finance, or similar field -or- equivalent hands-on experience., • Proficiency with Python (or R/Julia), SQL querying, and advanced Excel; experience wiring APIs or basic software architecture is a plus., • Experience working with business intelligence platforms such as Power BI, Tableau, or comparable tools, along with strong knowledge of forecasting methods and statistical analysis principles., • Proven ability to turn ambiguous business problems into data models and actionable recommendations., • Comfort working onsite in a small, highly collaborative team; excellent communication and curiosity are must-haves., • Bonus points for prior exposure to manufacturing, supply-chain analytics, or aerospace/fastener industries. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS

Spring, Hibernate, Java, Python, SQL, Oracle RDBMS.We are looking for bright and energetic individuals with relevant experience of atleast 5 years in web applications development.Ability to write hands on high performance Java code, using spring/spring boot and python.Build cloud service on top of t

The ideal applicant should have advanced proficiency in programming languages such as C#, Java, or Python and strong technical capabilities for software delivery.