Top Senior Data & Analytics Jobs in Boston, MA

The role involves building and improving WHOOP's data platform infrastructure, ensuring reliability and efficiency, and driving best practices across engineering and data workflows.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

The Staff Analytics Engineer leads business intelligence initiatives, develops a governed semantic layer, and advocates for a data-driven culture while leveraging AI tools for analytics.

Design, build, and maintain enterprise ETL/ELT pipelines and data management workflows for market, reference, and financial data in the Markit EDM platform. Implement ingestion, validation, reconciliation, enrichment, monitoring, and distribution processes; support reporting and downstream integrations. Troubleshoot production data issues, collaborate with stakeholders in agile squads, and mentor junior engineers to promote best practices.

Lead reporting and analytics for the finance domain, translate business requirements to product and tech teams, own data migration and roadmap, ensure data quality, enable data-driven automation and ML, coordinate organizational readiness for reporting transition, and manage stakeholder communications to deliver measurable business outcomes.

The Finance Data Governance Consultant ensures governance for Finance data domains, defines standards, resolves conflicts, and partners with experts to enhance data quality and usability.

The Manager of Media Analytics & Optimization will lead media performance measurement, drive insights for decision-making, and foster collaboration with senior stakeholders, while utilizing skills in analytics and AI.

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

The Senior Pricing and Packaging Analyst will analyze data to inform pricing strategies, develop recommendations, and work collaboratively across teams to implement these strategies.

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.