Top Data & Analytics Jobs in Boston, MA

Design, build, and maintain high-throughput data processing services, focusing on streaming and batch data systems to enhance player experiences.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

This role focuses on post-sale technical execution, ensuring customer onboarding and deployment, driving customer consumption of products, writing production code, diagnosing issues, and expanding adoption across teams.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

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 Analytics Engineer will build and optimize data transformation models, assist with BI tools, support stakeholders, document processes, and implement AI tools, contributing to a data platform under mentorship.

As a Privacy Specialist, you will manage data inventory operations, document data flows, and ensure compliance with privacy regulations while collaborating with internal teams.

The Sales Revenue Analyst will manage commission processes, analyze compensation results, and partner with various departments to optimize sales performance.

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.