Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

The Senior Product Data Analyst at CarGurus will analyze complex data, present insights to leadership, and create data assets to influence product strategies and enhance user experiences.

Lead R&D Support for Clinical and Research, manage application portfolios, oversee service performance, engage teams for effective delivery, and foster innovation in solutions.

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.

The Senior Business Intelligence Analyst will analyze complex datasets, create analysis frameworks, and provide insights for strategic business decisions. This involves forecasting performance metrics and presenting findings to stakeholders.

Lead end-to-end analytics for Veterinary Diet, Science Diet, and Health & Wellness businesses. Build self-service dashboards, define KPIs, run deep-dive analyses, partner with technical and category teams, and deliver insights that improve customer experience and financial P&L.

As a Data Office Manager, manage data strategy in the healthcare landscape, collaborate with teams and stakeholders, and oversee project management while leading a diverse team.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

The Senior Financial Business Systems Analyst will lead system implementations, design technology solutions, and mentor team members while collaborating with Finance and Sales operations to optimize financial processes.

Lead Harvard's data governance program: convene executive and steward groups, develop enterprise data strategy, set policies/standards, improve metadata and data quality, ensure privacy/compliance, measure governance effectiveness, and drive change across the university.

Lead and deliver data-driven commercial analytics projects for life sciences clients, design/implement data platform and ETL solutions, analyze data and present insights, manage client relationships and project teams, mentor junior staff, and contribute to business development and internal data warehouse initiatives.