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

Lead design and delivery of analytics and reporting for the Infrastructure & Automation portfolio. Build dashboards, data architecture, measurement frameworks, and automated pipelines; produce executive insights, KPI tracking, self-service analytics, and ad hoc analyses to inform strategic decisions and demonstrate business impact.

The Senior Business Analyst will analyze enterprise workflows, define business requirements, and manage program delivery, ensuring alignment with strategy and governance.

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.

As a Senior Data Engineer, you will enhance data products, build automated data pipelines, and improve data platform capabilities, collaborating with various teams to drive initiatives.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

Lead detection, investigation, and mitigation of payments fraud across cards and mobile. Build and own risk controls, metrics, reporting, and cross-functional analytics projects using SQL and BI tools to scale monitoring and partner with product, data science, and engineering.

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.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.

Lead analytics engagements focused on Adobe Analytics and Customer Journey Analytics: implement/configure tools, build dashboards and reports, provide training and enablement, deliver insights to improve customer experience, and ensure data security and privacy compliance.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.