Top Data & Analytics Jobs in Boston, MA

Lead ADUSA Finance data strategy, governance, and master data management. Build operating model, policies, and metrics; manage SAP MDG as business owner; coordinate cross-brand and global alignment; oversee data quality, change processes, controls, and training to enable finance reporting and transformation initiatives.

Support delivery of recurring and ad-hoc HR reports and visualizations using Power BI, SQL, and Excel. Troubleshoot data quality, respond to ServiceNow tickets, assist UAT and regression testing, document requirements and scripts, and collaborate with senior analysts and IT to improve HR analytics and reporting processes.

Own end-to-end analytics for Chewy's Pharmacy and related businesses: deliver deep-dive analyses, build self-service dashboards and KPIs, partner with finance and engineering to enable new data sources, conduct QA/UAT, and produce documentation and training to drive customer experience and financial 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 the transformation of People Analytics into a strategic, predictive, AI-enabled function. Define vision, operating model, and roadmap; build and lead a high-performing team; drive adoption of analytics and AI; partner with senior leaders on talent and organizational decisions; modernize analytics products, data foundations, and governance.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

Lead Data Engineer will design, build, test, and support cloud-based data solutions and streaming systems. Collaborate with Agile teams and product managers, mentor engineers, implement big data tooling (Spark, Kafka, EMR), and optimize data warehousing (Redshift, Snowflake) using Java/Scala/Python and SQL. Ensure code quality with unit tests and reviews.

Design, build, and maintain scalable cloud-based data pipelines and models (AWS, Snowflake). Implement ETL/ELT, data quality checks, automated tests, and monitoring. Collaborate with product owners, data scientists, and stakeholders to translate requirements, perform data profiling and troubleshooting, document data flows, and drive continuous improvements.

As a Business Technology Solutions Associate Consultant, you'll develop and implement tech solutions, lead project teams, mentor junior members, and manage project delivery in the life sciences sector.

Define and lead enterprise data governance: create standards, operating model, and AI-ready data practices. Partner with data product managers, platform engineering, security, legal and privacy to enable self-service, metadata, lineage, quality, access controls, and compliance while building governance councils and driving adoption.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.