Top Remote Data & Analytics Jobs in Boston, MA

The Senior Business Intelligence Analyst will enhance reporting capabilities, analyze data, and provide insights to internal and external clients, driving strategic decision-making and client success.

The Analytics Manager will lead a team of analysts, focusing on data product delivery in the life insurance sector, while ensuring quality standards and mentoring team members.

Lead Engineer for Business Systems focusing on Salesforce, overseeing technical strategies, system enhancements, and cross-team collaboration to optimize workflows and support system governance.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

Lead digital measurement strategy for web and digital marketing. Build and maintain dashboards, integrate multi-platform data, perform tagging QA, run A/B test analyses, and deliver insights to optimize campaign effectiveness, UX, and ROAS.

The Partials Pricing Analyst analyzes market data for pricing, collaborates with teams on RFPs, and proposes solutions to improve processes.

The Business Procedures Consultant II will enhance operational performance in Long-Term Disability by leading reporting, analytics, and process improvements while collaborating with leadership to influence decision-making.

Lead client engagements delivering advanced reporting, analytics, and large-scale historical data migrations into Unanet ERP AE. Design and validate complex SQL, SSRS, and Power BI solutions, mentor junior consultants, use AI-assisted tools for analysis and QA, and manage multiple projects to ensure accurate reconciliation and client outcomes.

The Revenue Analytics Manager will analyze customer success and partner analytics, delivering insights to drive retention and revenue growth, working cross functionally with leadership and data teams.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.