Top Hybrid Data & Analytics Jobs in Boston, MA

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.

The Associate Analyst will support the Brand Partnerships team by managing media plans, analyzing performance data, collaborating with teams, and ensuring accurate invoicing while leveraging insights for strategy development.

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.

Lead Analytics Engineer responsible for data modeling, transformation, pipeline orchestration, quality governance, and empowering data-driven decisions across the organization.

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

The Data Analytics Engineer will develop data models, perform data wrangling, and create dashboards to drive insights for business decisions at Bose Corporation.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

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 the development of business intelligence strategies, manage analytics projects, ensure data accuracy, and mentor BI professionals. Drive decision-making and foster a data-driven culture.