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

Lead portfolio analytics for Amazon Credit & Payments: define problems, source and analyze data, build dashboards, measure and optimize lifecycle and campaign performance, partner cross-functionally, and coach analytics teams to drive growth, profitability, and improved customer experience.

Lead marketing analytics and measurement strategy, build democratized dashboards and audience architecture, translate insights for executives, manage analysts and offshore delivery, align cross-functional teams, steward data ethics, integrate MarTech roadmap, and deliver impact reporting to optimize spend and drive firm growth.

The Senior SAP/IT Business Analyst will support the R2R process, collaborating with teams on requirements, testing, and training, ensuring SAP integration.

Turn channel data into actionable insights to improve partner behavior and forecasting. Analyze pipeline, deal quality, product mix, program ROI, and sales velocity. Deliver decision-ready recommendations, build dashboards, define data needs, and partner cross-functionally with Sales, Programs, and Ops to drive scalable revenue outcomes.

Embed with a core business area to define problems, build reports and experiments, analyze data, surface insights, and drive high-impact recommendations end-to-end across growth, product, AI, or partnerships.

Provide insights and recommendations to improve end-to-end purchase customer journeys across web and app for B2C and B2B. Lead A/B testing and experimentation, ensure accurate data collection and impact measurement, build self-service reporting and visualizations, query and process data, and present findings to stakeholders and senior leadership.

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.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Lead GTM business intelligence to turn fragmented Sales/Marketing/CS data into trusted insights and measurable outcomes. Drive data migration, cleanup, and platform adoption with IT, enable AI fluency and tool adoption across GTM, proactively design dashboards, and manage one technical direct report to improve funnel performance and win rates.