Top Data & Analytics Jobs in Boston, MA

The Senior Marketing Analyst translates complex data into actionable insights, collaborates across marketing teams to enhance performance, and develops analytics frameworks to inform strategies and measure ROI.

The Staff Data Engineer will build and manage a data lake, optimize data pipelines, collaborate with teams, and support AI projects while ensuring quality data solutions.

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.

The role involves leading the implementation of tokenized share classes, coordinating with custodians, integrating digital asset operations, and collaborating on fund administration and board support for digital asset products.

The Analytics Engineer will enhance the People Data Warehouse, model data, partner with stakeholders, and ensure data integrity for decision-making.

As a Director in Deal Analytics, you will lead teams in providing data-driven insights and managing high-performing teams in complex deal environments for top clients.

Support Tempus' oncology data licensing by identifying patient cohorts, generating analytics, and maintaining technical processes. Mentor team members and integrate new data sources.

The Staff Analyst will drive insights and strategies for Upstart's Personal Loans product, collaborating with multiple teams on data analysis and product optimization.

As a Staff Analyst, you'll conduct quantitative analysis, administer A/B tests, build data pipelines, and mentor junior analysts while collaborating with Product and Engineering teams.

The Solutions Associate will support Zeta's Data Cloud team by managing client inquiries, enhancing operational processes, and driving product insights to improve client satisfaction and growth.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.