Top Senior Data & Analytics Jobs

Lead design and execution of an enterprise data controls and governance program. Assess controls, define standards, implement data quality checks and monitoring, support platform migrations, and enable AI-ready data. Partner with cross-functional teams, manage a team of analysts, and ensure regulatory compliance for critical ratings and enterprise datasets.

Lead analysis and insights for sports game titles; translate product and business needs into actionable, data-driven recommendations; build reports and visualizations; develop scalable self-service tools; mentor analysts and partner with Product, Marketing, and Commercial teams to drive player and business outcomes.

Partner with HR and business leaders to deliver timely people insights and storytelling. Own employee listening, retention and quality-of-hire analyses, comp and performance cycle support, headcount planning, Snowflake data work, and build self-serve dashboards and AI-driven automation to scale decision-making.

Lead and scale a horizontal Business Analytics team supporting multiple operational functions. Define analytics strategy, build dashboards and KPIs, translate ambiguous questions into actionable insights, coach analysts to deliver recommendations, and adopt AI tools to improve team effectiveness. Communicate findings to senior leadership and partner with cross-functional stakeholders to influence strategy and execution.

Own SQL and dbt-based data modeling and data quality for clinical and claims datasets. Author and refactor dbt models/tests, triage DQ alerts, design monitors, optimize SQL performance, and collaborate with Data Engineering and stakeholders to ensure trusted production datasets.

Design, build, and maintain data pipelines, ETL/ELT processes, data lakes and data warehouses. Write advanced SQL, tune performance, support production, automate report delivery, and build dashboards (Orbit/Tableau). Manage full SDLC for data warehouse applications and collaborate with offshore teams.

Lead pricing strategy and optimization for advertiser portfolios, perform deep-dive analyses, develop forecasting and optimization models, design pricing experiments, drive automation and scalable tools, and partner cross-functionally to translate analytical findings into business recommendations and revenue-driving implementations.

Lead finance-embedded analytics, forecasting mortgage production and revenue, own intra-quarter pacing and P&L models, build data pipelines and dashboards, integrate finance source systems into Snowflake, automate reporting, support earnings/IR, and mentor analysts while delivering executive-grade analysis and recommendations.

Design, build, and maintain enterprise data warehouse and data lake solutions. Develop, tune, and operate ETL pipelines and SQL for analytics. Own end-to-end features, collaborate with analytics and engineering teams, and evolve data storage and ingestion platforms.

Lead analytical work to monitor loan portfolio and originations, detect credit and underwriting issues, build multivariate statistical models, analyze funnels, quantify costs/benefits, present recommendations to executives, design monitoring and controls, and drive implementation using SQL, Python, Excel, AI tools, and financial/statistical techniques.