Top Data & Analytics Jobs in Boston, MA

The Senior Data Analyst will provide data analysis to drive strategic decisions, utilizing SQL and Python for insights and data visualization, engaging with cross-functional teams, and developing interactive dashboards.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

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

Design, prototype, and deploy statistical and ML models for lifecycle marketing to drive acquisition, engagement, retention, and upsell. Run and evaluate experiments (A/B tests, bandits), collaborate with engineers/ML Ops to productionize models, and communicate insights to stakeholders.

The Analyst II manages planograms, ensuring alignment with brand standards, leading planogram activities, and collaborating to optimize product placement.

As an Actuary for Actuarial Investments and Audit, you'll provide actuarial expertise to support audits, assess risks, and enhance internal controls across the enterprise.

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

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.

Lead and develop an analytics team supporting Casino Revenue Operations. Drive measurement, monitoring, and optimization of casino performance through deep-dive analyses, scalable alerting frameworks, stakeholder recommendations, and an analytics roadmap aligned to business impact.

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.