Top Hybrid Business Intelligence (BI) Jobs in Boston, MA

Support product development by transforming complex datasets into actionable insights. Build and govern semantic layers and Refiner Tables, write advanced SQL and Python analyses, create executive Tableau dashboards, guide conversational AI/LLM integrations, and communicate findings to stakeholders to improve payments product performance.

Lead analytics and reporting for Center Store sourcing: build tools and dashboards, support negotiation prep and RFPs, identify savings and growth opportunities, manage project timelines, train associates, and partner cross-functionally to drive financial results and process improvements.

Own end-to-end analytics for Chewy's Pharmacy and related businesses: deliver deep-dive analyses, build self-service dashboards and KPIs, partner with finance and engineering to enable new data sources, conduct QA/UAT, and produce documentation and training to drive customer experience and financial outcomes.

Lead product analytics for the Dealer team: run exploratory analyses, build and audit metrics, create dashboards, automate data transformations (dbt/LookML), partner with Data Engineering, and present insights to influence product strategy. Use SQL, Python/R, and GenAI tools to solve complex data problems and improve product performance.

Lead analytics to optimize the auto quoting and policy lifecycle experience, focusing on new-business growth and retention. Analyze quote flows, prefill data, risk classification, midterm/renewal logic, and competitive intelligence. Partner with Distribution, Data Science, Risk, Underwriting, Technology and Service teams to design, test, and implement experience improvements and provide actionable recommendations to increase engagement, reduce friction, and improve persistency and lifetime value.

Senior BI Platform Administrator to own enterprise BI infrastructure across Power BI, Microsoft Fabric, and Snowflake. Responsibilities include federated Power BI governance, Fabric AI Agent skill design and deployment, RBAC/RLS design, certified semantic model development, CI/CD and SRE practices for platform reliability, and measuring adoption. Partners with Data Engineering, IT Security, AI/ML, and business stakeholders to drive secure, performant analytics and AI-powered experiences.

Lead analysis of large-scale payment and customer-behavior datasets to inform strategy, experimentation, and operations. Build scalable reporting and experimentation frameworks, partner with cross-functional teams, and translate insights into executive-ready recommendations that improve payment performance, customer experience, and platform reliability.

Lead commercial analytics to diagnose sell-through, pricing, promotions, assortment, and retailer execution. Build causal and incrementality measurement, design test-and-learn, support elasticity and margin analyses, and deliver executive-ready insights and frameworks to optimize revenue, margin, and promotional efficiency across channels and retailers.

Lead design and delivery of customer-facing dashboards and custom analytics, partner with stakeholders to quantify Flywire's product value, and collaborate with product and engineering to build secure, scalable reporting and data solutions.

Lead data validation and risk analytics practice, set strategic direction, manage multiple client engagements, and drive business development. Use Alteryx and Python for data integration, build dashboards in Power BI/Tableau, apply predictive analytics and statistical modeling, ensure data integrity/security, mentor teams, and cultivate executive client relationships.