Top Remote Senior Level Business Intelligence (BI) Jobs in Boston, MA

Join the BizOps & Analytics team embedded in a core business area to define problems, build analyses and reports, design experiments, surface insights, and drive data-informed decisions end-to-end to increase customer growth and business scale.

Embed with a core business area to define problems, build metrics, run analyses and experiments, generate actionable insights, and drive product, growth, AI, or partnership outcomes end-to-end.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Lead analysis of the digital customer journey, measure campaign and web performance, build dashboards and forecasts, apply statistical methods, validate data, and present actionable insights to marketing and cross-functional stakeholders.

Design and deliver BI solutions by analyzing large, complex healthcare datasets. Architect MDM/identity-resolution and semantic models, untangle legacy data ecosystems, defend technical approaches to executives, influence strategy, and implement cloud/Databricks-based ETL and analytics solutions.

Lead design, development, and optimization of Power BI dashboards and data models, analyze complex business problems using SQL and large datasets, deliver insights to executive leadership, maintain data accuracy and KPIs, drive BI process improvements and automation, and serve as the Power BI subject-matter expert across cross-functional teams.

Lead analytics projects using advanced and predictive modeling to optimize programs, forecast behavior, and drive revenue. Partner consultatively with business, IT, and SMEs across project lifecycle—intake through delivery—communicating results to stakeholders and senior leadership. Work independently on complex technical approaches and influence department strategy.

Lead BI analytics and governance for client accounts: manage BI analysts, deliver dashboards and reports, oversee data mapping, modeling, quality, and platform initiatives (Power BI/Databricks), advise stakeholders, drive analytics roadmap, and apply advanced analytics and ML to optimize workplace and portfolio insights.

Lead analytics for Scopely's Live Games Portfolio: build cross-title live reporting, frameworks, dashboards, and studies. Partner with game teams and data platform to translate player and product data into actionable insights that guide decisions and improve game performance and health.

Lead development and delivery of enterprise BI strategy: gather requirements, build dashboards and t‑SQL queries, partner with data engineering, mentor BI staff, and manage BI lifecycle to provide insights across the organization.

Lead the People Analytics function by developing AI tools, predictive models, and dashboards to enhance HR decision-making and employee experience.

The Senior Analyst in Revenue Operations will manage planning cycles, headcount, performance plans, financial modeling, and collaborate with FP&A to support the GTM organization.