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

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.

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.

As a Lead Analyst, you will optimize trading analytics by assessing exchange performance, developing analytical frameworks, and collaborating with teams to enhance trading strategies and customer experience.

Design the architecture for a healthcare data ecosystem, ensuring integration of structured and unstructured data for AI use, while maintaining data quality and governance.

The Senior Analytics Engineer will own data pipelines and models for Sales and Product analytics, ensuring data quality and governance. They will collaborate with cross-functional teams to facilitate data-driven decisions and enhance productivity through scalable data solutions.