Top Hybrid Data & Analytics Jobs in Boston, MA

The Business Analyst II will partner with the AI Product team to analyze data, drive product decisions, and enhance AI-driven member experiences through insights and recommendations.

As a Clinical Data Manager, you'll lead data governance for clinical studies, ensuring data integrity, compliance, and readiness for analysis. You'll manage data architecture, oversee database operations, and collaborate with cross-functional teams to enhance clinical data processes.

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

The Associate Director, Biostatistics is responsible for statistical guidance in clinical study design, data analysis, and regulatory submissions, leading clinical study teams to ensure timely and quality outcomes.

The Underwriter will review and underwrite loans, ensuring compliance with standards, and assist in loan structuring and evaluation.

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

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.

Use SQL and experimentation to measure and improve sportsbook performance. Design and analyze A/B tests, build analysis-ready datasets, create dashboards and automated reports, and present insights to Product, Operations, and Data Science to drive business decisions.

Lead end-to-end analytics for Veterinary Diet, Science Diet, and Health & Wellness businesses. Build self-service dashboards, define KPIs, run deep-dive analyses, partner with technical and category teams, and deliver insights that improve customer experience and financial P&L.

Build and own end-to-end sales data pipelines and curated marts in Snowflake/dbt; implement monitoring, tests, and governance; run reverse-ETL to operational systems; partner with Sales, Ops, Finance, and People to deliver production-ready analytics products.