Top Remote Data & Analytics Jobs in Boston, MA

Ensure customer data accuracy and reliability by validating backend systems, querying and analyzing healthcare datasets, troubleshooting ingestion and orchestration failures, monitoring workflows, supporting customer technical discussions, documenting investigations, and collaborating across teams to deliver scalable data quality solutions.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

The Data Scientist will conduct advanced analytics, focusing on care gaps and segmentation of healthcare professionals using real-world data. Responsibilities include planning analyses, preparing datasets, developing predictive models, and collaborating with product managers to communicate insights.

As a Data Solutions Architect, you will collaborate with clients to define business requirements, showcase AcuityMD's data solutions, and drive commercial effectiveness in MedTech sales through data expertise and presentations.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

The Security Solution Consultant at ServiceNow leads customer engagements by providing expertise in Security Operations, contributing to sales campaigns, and developing innovative solutions to enhance customer security architecture.

The Underwriter will review and underwrite loans, ensuring compliance with standards, and assist in loan structuring and evaluation.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead a unified analytics organization for Marketing and Product, define shared metrics and measurement frameworks, deliver executive-ready insights, build forecasting and experimentation programs, partner with engineering and privacy teams, and hire and mentor multi-layer analytics teams to drive product adoption and business outcomes.

Design, develop, and maintain forecasting and optimization models for contact forecasting, headcount planning, staffing and budget. Partner cross-functionally to produce data-driven recommendations, present to leadership, and mentor forecasting analysts.