Top Data & Analytics Jobs in Boston, MA

The Senior Data Engineer/Data Modeler will design and implement data models, manage data governance, and optimize data workflows for financial insights.

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.

The Director of Care Analytics will lead analytics strategy, KPI governance, and team development, translating data insights into business decisions and improving customer experience.

The Director of Data Engineering & Infrastructure will lead data infrastructure strategy, design a unified data model, oversee data governance, and manage a data engineering team to enhance customer success initiatives.

The Manager, Biostatistics leads statistical analysis for clinical trials, develops study designs, and collaborates on reporting results. They support regulatory compliance and contribute to departmental initiatives.

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.

This role involves analyzing and optimizing business systems to enhance operational efficiencies and support various technology services for grocery brands.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

The Performance Marketing Analyst will analyze paid campaigns, collaborate across teams, and provide reporting and insights to drive business growth.

As a Business Analyst I at WHOOP, you will analyze metrics to improve member experience, support operational insights, and ensure data quality.

The Senior Business Analyst will drive growth by leveraging data to enhance member experiences through insights, experimentation, and reporting, collaborating closely with the Growth Product team.

Support client engagements applying optimization, operations research, and AI-enabled analytics to logistics, transportation, warehousing, and distribution. Build models (LP/IP, network flow, heuristics, simulation), analyze messy data, design AI-enabled decision systems, produce client-ready deliverables, and collaborate with stakeholders to implement recommendations.

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.

Lead digital measurement strategy for web and digital marketing. Build and maintain dashboards, integrate multi-platform data, perform tagging QA, run A/B test analyses, and deliver insights to optimize campaign effectiveness, UX, and ROAS.