Top Data & Analytics Jobs in Boston, MA

The Data Program Associate will manage data acquisition, partner with product teams, evaluate business cases, and enhance data quality using AI systems.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

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 Manager of Advanced Analytics & Automation leads the strategic analytics and AI automation initiatives for customer intelligence, building data models, insights, and automation workflows to enhance customer success and retention.

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.

Support commercial decision-making by transforming internal and external data into actionable insights. Maintain recurring performance reporting, conduct market and competitive analyses, build dashboards and automations, and produce executive-ready insight summaries to inform pricing, promotion, innovation, and supply chain planning.

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.

Join the Data Science Co-Op at Bose to engage with stakeholders, build predictive models, and explore data related to audio technology innovations.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

The Senior Product Analyst at Toast collaborates with various teams to analyze data, develop measurement frameworks, and enhance product development through insights, dashboards, and reporting tools.