Top Data & Analytics Jobs in Boston, MA

This co-op position involves developing data products, design and testing of data pipelines, and delivering insights from complex datasets for business decisions.

This co-op position involves developing data products and solving complex data problems using cloud technologies, SQL, and programming languages while gaining mentorship and business exposure.

As a Supply Chain Data Analytics Co-op, you'll support analytics projects, using various data engineering and predictive modeling techniques in a collaborative environment.

As an Analyst II, you will enhance fraud prevention strategies, improve risk workflows, and collaborate with teams to analyze data and streamline operations.

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.

This role involves leading data analytics projects, managing client accounts, mentoring junior staff, producing industry research, and creating analytic models for strategic insights.

The Decision Analytics Associate role involves developing statistical models, leveraging data analytics for decision-making, and communicating results to clients while mentoring associates.

As a Business Systems Analyst in Finance Tech, you'll drive technology strategies, manage financial system integrations, and collaborate with teams to optimize financial processes.

As a Finance Specialist at Kensho, you'll manage engagements with SMEs, advise ML teams, oversee data projects, and analyze datasets for GenAI applications.

The Data Warehouse Architect will engage business stakeholders, design and implement data models, maintain data pipelines, and ensure data quality and governance, enhancing data democratization through self-service analytics 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.

Design and implement solutions using Generative AI in the Investments domain, mentor engineers, and collaborate with stakeholders to drive architectural strategies.