Top Remote Senior Level Data Analysis Jobs in Boston, MA

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

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.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; and drive data-informed decisions and outcomes. The role requires independent data work, strong problem-solving, stakeholder influence, and end-to-end ownership of ambiguous initiatives.

Conducts econometric, causal, statistical, and optimization analyses to improve operational efficiency, resource allocation, product performance, and business outcomes. The role defines efficiency measures, develops forecasting and optimization tools, partners with product and engineering teams on data instrumentation and implementation, and communicates findings to executives through clear reports.

Conduct semiconductor industry research, maintain component and application databases, develop market forecasts, validate assumptions, and deliver thought leadership. The role involves collaborating across analyst teams, responding to client and internal inquiries, managing the AMFT model and datasets, adapting research to market needs, and supporting sales, renewals, and product development.

Analyzes healthcare claims, clinical, eligibility, and supplemental data to support value-based care programs and client decisions. Builds reliable datasets, dashboards, and custom analyses; validates results, investigates anomalies, documents methodology, and presents findings to technical and non-technical stakeholders. Manages client analytics projects end-to-end while balancing competing priorities and maintaining long-term deliverables.

Analyzes marketing and CRM data, builds KPI dashboards, provides campaign and business development recommendations, and manages Salesforce administration, automation, audits, permissions, and data quality. The role validates integrations, supports migrations, troubleshoots system discrepancies, identifies enrichment opportunities, and provides user onboarding, training, and documentation. It collaborates across marketing and business development teams to improve prospecting, relationship management, cross-selling, client acquisition, and retention.

The Senior eDiscovery Analyst advises litigation teams and clients on ESI preservation, collection, processing, review, analysis, and production. The role manages Relativity applications, develops discovery databases and documentation, troubleshoots data, and supports cloud and collaboration data sources. It designs and validates Relativity aiR workflows, mentors analysts on generative AI, and ensures defensible review practices. The analyst also manages multiple projects, maintains technical expertise, supports clients and vendors, works Eastern Time hours, and meets a 1,400-hour annual billable goal.

Build and maintain trusted Finance data products, including data models, transformations, pipelines, semantic models, dashboards, and analytical tools. Translate FP&A requirements into scalable solutions, validate and reconcile outputs, resolve data quality issues, and document lineage and business rules. Use SQL and Python for automation and advanced analytics supporting forecasting, revenue, customer, portfolio, and operational analysis. Partner with shared data teams and stakeholders while enabling self-service reporting and executive decision support.