Top Data & Analytics Jobs in Boston, MA

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 statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

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.

In this co-op role, you'll analyze qualitative and quantitative consumer data, assist in research plans, translate insights into product recommendations, and collaborate cross-functionally to support product and marketing strategies.

Support Business Banking with analytics, reporting, dashboards, and automation to drive deposit acquisition, onboarding, funded balance growth, and retention. Produce forecasting and pipeline reporting, provide deposit strategy and profitability insights, enable go-to-market and campaign analysis, and standardize onboarding and data processes to improve efficiency and data quality.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.