Top Data & Analytics Jobs

Lead the development of the enterprise data strategy, ensuring governance and quality while partnering with key business leaders to improve analytics and customer outcomes.

As a Staff Solutions Architect, you'll guide customers on architectural decisions, mentor teams, and influence product strategy for data lakehouses.

Lead the optimization of CRM data management, leveraging AI and analytics to enhance data integrity, automate workflows, and derive actionable insights.

The role focuses on building tools for volatility research, designing trading strategies, analyzing data, and collaborating with a team to enhance trading strategies in volatility markets.

Lead analytics and analytics-focused data engineering to produce trusted datasets, dbt models, and semantic layers. Perform client lifecycle and boutique-level commercial analysis, design test-and-learn programs, build Tableau reports with automated distribution, surface actionable recommendations to leadership, resolve data inconsistencies and performance issues, and mentor other analysts.

This role involves developing complex actuarial models, conducting analyses and presenting findings for pricing, underwriting and forecasting.

Leads the biostatistics function for clinical trials, providing statistical guidance and overseeing department standards while managing multiple projects and teams.

Lead a data engineering team building and operating NPR's data warehouse, pipelines, BI, and personalization systems. Responsibilities include people leadership, hiring, cross-functional collaboration, Agile delivery, technical design and code review, automation for developer experience, incident response, and vendor management.

The role involves building and maintaining AI data capabilities, implementing data pipelines, and ensuring operational excellence in data management within a healthcare context.

As a Quantitative Researcher, you will analyze data, develop alpha signals, collaborate on performance analysis, and create pricing models while assessing risk.