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

The Staff Analytics Engineer leads business intelligence initiatives, develops a governed semantic layer, and advocates for a data-driven culture while leveraging AI tools for analytics.

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.

As a Senior Associate, you'll lead the development of Salesforce Marketing Cloud solutions, mentor junior members, analyze complex problems, and build strong client relationships while ensuring high-quality standards.

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.

Leads strategic analytics for the Healthcare Product team, mentoring analysts and collaborating with various departments to enhance user experience and drive product decisions.

Partner with Finance, Accounting, and Revenue Operations to design and deliver Power BI analytics, semantic models, and decision support for forecasting, close, revenue, and spend analysis. Translate finance concepts into metrics, reconcile data across systems, collaborate with data engineering, and apply AI-assisted tools to automate and scale finance analytics for executives and business partners.

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.

Serve as the bridge between business and the Product Master Data Management (PMDM) solution: gather and translate requirements, lead UAT and training, prioritize product backlog with Product, monitor tool performance with analytics, support tickets and root-cause analysis, and drive change management to optimize item lifecycle processes.

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.

The Principal Front-Office Engineer will lead the design and implementation of AI-driven solutions in investment strategies, collaborating with analysts to enhance toolsets and reporting systems.