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

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.

The Business Analyst II will deliver analytical insights for Global Operations, focusing on logistics, supply chain performance, and KPI monitoring.

Turn complex customer and risk data into strategic direction to strengthen fraud prevention and reduce chargebacks. Monitor emerging threats, evaluate business rules and workflows, build scalable reporting and dashboards, collaborate with cross-functional teams, and translate analyses into executive-ready recommendations to improve operational efficiency and risk outcomes.

Perform exploratory analysis across web, dealer, and sales data to evaluate revenue strategies. Translate business needs into analytic solutions, build data transformations, reports, and dashboards with SQL/Python/R, communicate insights to stakeholders, partner with cross-functional teams to recommend improvements, and mentor junior analysts.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

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.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

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 reporting and analytics for the finance domain, translate business requirements to product and tech teams, own data migration and roadmap, ensure data quality, enable data-driven automation and ML, coordinate organizational readiness for reporting transition, and manage stakeholder communications to deliver measurable business outcomes.