Top Remote Senior Level Data & Analytics Jobs in Boston, MA

Senior BI Platform Administrator to own enterprise BI infrastructure across Power BI, Microsoft Fabric, and Snowflake. Responsibilities include federated Power BI governance, Fabric AI Agent skill design and deployment, RBAC/RLS design, certified semantic model development, CI/CD and SRE practices for platform reliability, and measuring adoption. Partners with Data Engineering, IT Security, AI/ML, and business stakeholders to drive secure, performant analytics and AI-powered experiences.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Lead data steward for Personal Lines Product, Pricing, and Underwriting domains. Define and maintain a data roadmap, translate plans into actionable epics, govern data policy and classification, and coordinate stakeholders to modernize systems (streaming, data vault, warehousing) and enable a unified insurance platform. Advise Agile squads and collaborate with technical teams to implement durable, compliant data solutions.

Lead RevOps data modeling, ETL/DBT development on Snowflake, SQL-based analytics, and Tableau reporting. Optimize and maintain RevOps systems (Salesforce, Clari, Outreach, Gong/Chorus), ensure data quality, apply advanced analytics/AI concepts for forecasting, and partner cross-functionally to deliver actionable revenue insights.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

Own SQL and dbt-based data modeling and data quality for clinical and claims datasets. Author and refactor dbt models/tests, triage DQ alerts, design monitors, optimize SQL performance, and collaborate with Data Engineering and stakeholders to ensure trusted production datasets.

Build and maintain governed Silver/Gold data models and semantic assets on Databricks. Translate stakeholder KPIs into testable, reusable transformations, apply enterprise modeling standards, enable domain self-service, ensure data sensitivity and governance, and review domain-contributed models for production readiness.