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

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.

Leads a team of analytics professionals and owns client and product analytics strategy, dashboards, reporting, metrics governance, and self-service capabilities. Partners with Product, Engineering, Client Success, and account teams to define trustworthy KPIs, improve data quality, translate complex data into actionable insights, and prioritize analytics initiatives. The role combines people leadership with hands-on BI solution design and supports client-facing analytics offerings.

Lead operational analytics for WHOOP’s global operations, identifying inefficiencies across shipping, fulfillment, inventory, costs, and service levels. Own metrics, forecasting, spend tracking, variance analysis, and cost-reduction initiatives while partnering with Operations, Finance, Membership Services, vendors, and Data Engineering. Build trusted data assets, pipelines, semantic-layer definitions, dashboards, and performance reviews. Manage and mentor analysts while influencing strategic prioritization and resource allocation through data-driven insights.

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.

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.

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.

Partner with HR and business leaders to deliver timely people insights and storytelling. Own employee listening, retention and quality-of-hire analyses, comp and performance cycle support, headcount planning, Snowflake data work, and build self-serve dashboards and AI-driven automation to scale decision-making.

Lead the transformation of People Analytics into a strategic, predictive, AI-enabled function. Define vision, operating model, and roadmap; build and lead a high-performing team; drive adoption of analytics and AI; partner with senior leaders on talent and organizational decisions; modernize analytics products, data foundations, and governance.

Develops business intelligence and analytical solutions for the CPM organization. Responsibilities include consolidating data from disparate sources, writing SQL queries, creating tools, developing and supporting Power BI dashboards, gathering stakeholder requirements, preparing management reports, supporting regulatory filings, and producing KPI reports.

Develops business intelligence solutions for the CPM organization, including SQL-based data analysis, Power BI dashboards, reports, custom tools, and data processes. Consolidates information from disparate sources, gathers business requirements, supports regulatory filings, and produces KPI and EPRP reports. The role also involves process improvement, cross-functional collaboration, and ensuring data solutions follow security and industry standards.