Top Senior Data & Analytics Jobs in Boston, MA

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.

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.

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.

Lead GRS Data & Analytics technology for business insights: own executive reporting, build shared BI/MI capabilities, drive MDM adoption, ensure trusted scalable reporting, and lead a cross-functional insights team to embed analytics into business routines.

The actuary will conduct complex analyses, recommend actuarial assumptions, support governance committees, communicate findings, and enhance analytics processes.

The Senior Data Analyst will provide data analysis to drive strategic decisions, utilizing SQL and Python for insights and data visualization, engaging with cross-functional teams, and developing interactive dashboards.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

The Principal Data Analyst will manage paid media analytics and operations, ensuring data quality, compliance, and actionable insights while collaborating with media buyers to improve performance and ROI.

Leads strategic analytics for the Healthcare Product team, mentoring analysts and collaborating with various departments to enhance user experience and drive product decisions.

Lead and grow an analytics engineering team to deliver scalable data models and reporting for Product, Marketing, Finance, and other stakeholders. Drive BI platform vision, collaborate with Product and Data Governance, prioritize work, implement agile practices, and ensure high data quality and performant transformations.