Top Senior Level Data & Analytics Jobs in Boston, MA

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.

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

The Senior Revenue Operations Analyst will support go-to-market teams with insights and reporting, optimize processes, and analyze revenue trends to drive operational efficiency and revenue growth.

Lead Data Product Management for G&A functions, shaping strategy, coordinating execution, and establishing practices within Finance, HR, and IT sectors. Engage stakeholders, ensure data quality and governance, and manage team growth while directly overseeing product delivery.

The Business Analytics Manager will partner with Lifecycle Marketing to enhance member communications, drive engagement, and inform strategic decisions using data analysis and insights.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Design and implement reusable data patterns, automate quality checks, and enhance pipeline reliability, while developing streaming data applications and overseeing data integration.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.