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

Support Commercial and Supply Chain with analytics and reporting: design and automate reports, build dashboards, perform complex correlation and predictive analyses, ensure data integrity across stakeholders, lead requirements and data flow design, and present actionable insights to leadership.

Lead analytical monitoring and strategic analysis for homeowners insurance, translate findings into executive recommendations, present to senior leadership, partner across the business to drive profitable growth, and mentor junior team members.

Provide advanced analytical support to Enterprise Procurement by synthesizing large datasets, developing dashboards, and delivering insights to influence procurement strategy. Lead project workstreams, present recommendations to stakeholders, maintain reporting infrastructure, collaborate with data providers and business partners, and mentor teammates. Evaluate tools, processes, and apply AI/GenAI and automation to drive expense-saving opportunities and operational efficiency.

Lead data-driven diligence and value-creation engagements for private equity and corporate clients. Manage complex analyses, build pipelines and warehouses, develop predictive models and visualizations (Alteryx, Power BI, Tableau), ensure data quality, coach teams, and translate insights into actionable recommendations to support deal lifecycle and post-deal performance.

Lead data validation and risk management engagements using advanced analytics, data pipelines, and visualization to improve data quality and drive client decisions. Manage teams, mentor staff, build dashboards (Power BI/Tableau), apply statistical and predictive models, and collaborate with stakeholders to deliver scalable, data-driven solutions.

Lead analytics for operations by defining metrics, building reliable data assets, and uncovering inefficiencies across the order lifecycle to reduce cost and improve member experience. Partner with Operations, Membership Services, and Finance, drive cost-reduction initiatives, support S&OP and OKR reviews, collaborate with Data Engineering on pipelines, and manage and mentor a team of analysts.

Design and maintain predictive dashboards and forecasting models to track pipeline health, win rates, and GTM performance. Build SQL pipelines, conduct statistical and scenario analysis, partner with Sales/Marketing/Finance, and translate insights into actionable recommendations to improve revenue forecasting and operations.

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 measurement, test-and-learn designs, elasticity and incrementality analyses, and deliver executive-ready recommendations to optimize revenue, margin, and share.

As a Business Technology Solutions Associate Consultant, you'll develop and implement tech solutions, lead project teams, mentor junior members, and manage project delivery in the life sciences sector.

Partner with Sales, Product, Engineering, and Operations to build the GTM analytics foundation for a new dealer software pillar. Own pipeline, install base, churn, demo-to-close, and launch analytics; identify and fix Salesforce/process gaps; create prospecting and churn-risk signals; write production-grade SQL on Snowflake and productionize assets in dbt; and maintain dashboards in Looker, Omni, and Salesforce CRM Analytics to drive measurable go-to-market execution.