Top Data & Analytics Jobs

Lead and grow a client-facing analytics team to transform measurement from reporting to strategic advisory. Define measurement strategy, develop scalable frameworks, advise executives, drive vertical analytics, partner with Product and Data teams, and embed AI to improve insight generation and operational efficiency.

Lead North America PRS data engineering to modernize mainframe and cloud data platforms. Define data strategy, build scalable real-time pipelines and data products, establish engineering standards, advance governance and master/reference data management, hire and mentor teams, and evaluate emerging technologies to deliver business outcomes.

Lead business intelligence and growth for Transactions & Strategic Situations: develop growth strategy, build analytics and BI solutions, create BD and marketing assets, advise leadership, coordinate initiatives, and leverage AI and emerging tech to drive revenue and operational discipline.

Lead design, development, and maintenance of BI solutions (dashboards, reports, datasets). Partner with product, actuarial, underwriting to source and validate data. Automate reporting, perform audits/reconciliations, communicate findings to stakeholders, and mentor analysts. Act as Power BI SME and apply AI tools to accelerate development, code generation, automation, and QA.

Design, build, and operate the credit fund's end-to-end data and automation stack. Implement deal workflow, ingest borrower financials and payment telemetry, develop Python credit scoring and forecasting models, ship audit-grade investor and borrower dashboards, enforce security and auditability, and move into portfolio monitoring and underwriting while presenting results to LPs and borrowers.

Design, build, and operate scalable data pipelines and systems; own data architecture, data quality, SLAs, query performance, and reusable tooling; collaborate with engineering, AI, data science, and product teams; mentor engineers and promote observability and testing best practices.

Designs and implements automated ETL pipelines and reproducible workflows. Performs complex statistical analyses and machine learning, cleans and merges observational/medical data, builds dashboards and reports, defines data standards, and collaborates with IT to scale analytics infrastructure and automate analyses for decision-making.

Design, build, test, and maintain batch and streaming data pipelines; ingest data from varied sources; write SQL and Python transformations; monitor data quality and observability; support analytics, reporting, and data science; participate in code reviews, troubleshooting, and production support; collaborate with stakeholders to deliver scalable data solutions.

Perform economic research and modeling, synthesize financial and labor-market data, and produce forecasts and visual reports. Build and optimize Power BI semantic models, run SQL analyses, create DAX/MDX measures, and automate workflows with Power Automate and Power Apps. Collaborate with finance, HR, and IT to support budgeting, compensation planning, market expansion, and decision-making.

Lead web analytics: analyze digital customer behavior, build dashboards and measurement frameworks, forecast and optimize conversion funnels, design tests, automate reporting, ensure data quality, and present insights to stakeholders to drive digital experience improvements.