Top Data & Analytics Jobs in Boston, MA

The Analytics Engagement Manager ensures client success with data adoption, manages analytics projects, gathers requirements, and develops Statements of Work while providing thought leadership in healthcare commercial intelligence.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

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.

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

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

Ensure customer data accuracy and reliability by validating backend systems, querying and analyzing healthcare datasets, troubleshooting ingestion and orchestration failures, monitoring workflows, supporting customer technical discussions, documenting investigations, and collaborating across teams to deliver scalable data quality solutions.

The role involves managing performance marketing campaigns, analyzing data for insights, and collaborating on strategy for mid-funnel growth.

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.

As a Data Scientist, you will analyze complex economic data using statistical and machine learning models to influence policy decisions. You'll collaborate with economists and other stakeholders, manage data processes, develop visualizations, and stay current with data science advancements.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.