Top Hybrid Business Intelligence (BI) Jobs in Boston, MA

The Ecommerce Analyst drives analytics and insights for eCommerce growth, focusing on merchandising and marketing channel performance. Key responsibilities include analyzing revenue drivers, building data-driven business cases, and collaborating cross-functionally to enhance decision-making processes.

The Business Systems Analyst defines business and systems objectives, analyzes needs, leads projects, and ensures alignment with strategies in investment management technology.

The Director of Research will lead systematic equity research, drive innovative investment ideas, mentor a research team, and engage in client collaboration.

Lead the Office of Institutional Research & Analytics at Harvard University, overseeing strategic analytics projects, managing teams, and advising on data integration and reporting processes.

The Senior Director, Business Analytics leads enterprise analytics for Scholar Rock's commercial launch, defining strategies that support decision-making and growth initiatives.

The role involves owning forecasting, variance analysis, and commercial analytics, while maintaining data infrastructure and producing executive-ready outputs. The ideal candidate is a hands-on analyst with deep forecasting experience in the pharmaceutical industry, responsible for strategic analysis for the executive team.

This role involves leading insights and analytics for strategic business decisions, managing a team of analysts, and influencing senior leadership with data-driven narratives.

This role involves leading data-driven projects in the pharmaceutical sector, collaborating with teams to optimize data processes and delivering actionable insights using analytics and technology.

The Associate Director will lead analytics initiatives, analyze data trends, develop predictive models, and ensure successful client delivery while mentoring junior members.

As a Business Analyst, you will diagnose and resolve technical issues, enhance data and operational processes, contribute to reporting systems, and share knowledge within the data team.