Top Data & Analytics Jobs in Boston, MA

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

The Analyst will analyze promotional spend to optimize ROI and Gross Margin, collaborate with cross-functional teams, and manage pricing governance.

Assist in developing and executing consumer research to uncover needs and trends, translating insights into strategic product recommendations while managing projects and mentoring team members.

The Analytics Engineer will support business stakeholders by creating data models, integrating new data sources, and collaborating with teams to improve analytics and reporting capabilities.

The Business Systems Analyst will enhance financial systems by gathering requirements, supporting tool improvements, and ensuring accurate data flow for reporting, requiring collaboration across Finance and Operations teams.

The Senior Business Analyst will partner with AI Product teams to analyze data, develop strategies, and improve member experiences through AI-driven insights and frameworks.

The role involves designing and implementing BI solutions, managing multiple projects, and collaborating with various teams to drive business success through data-driven recommendations.

As a Customer Care Insight Analyst, you'll analyze customer interactions, derive insights, and collaborate with teams to enhance the customer experience through data-driven decision-making.

The Data Analyst will generate reports and insights for retail media clients, collaborating with sales to optimize campaigns and improve performance through data storytelling.

The Lead Space Planning Specialist will manage micro and macro space strategies, ensuring optimal product placement and store layouts while analyzing data to inform merchandising decisions. They will also guide contractors and collaborate with internal teams.

The role involves applying data analytics to financial crime issues using SQL and Python, engaging with clients, and enhancing technical skills.

Lead the development of business intelligence strategies, manage analytics projects, ensure data accuracy, and mentor BI professionals. Drive decision-making and foster a data-driven culture.