Top Hybrid Data & Analytics Jobs in Boston, MA

Lead underwriting performance analysis by developing metrics, reports, and dashboards. Translate financial, capacity, and operational data into insights, identify performance drivers and class/segment issues, and present recommendations to stakeholders to improve underwriting results.

Perform category analytics and insights to support sales and CPG category management using retailer POS and syndicated data (Circana/IRI/NielsenIQ). Drive assortment planning, store clustering, presentations, and recommendations; partner with clients, Space Technology, and CPG teams to influence action and ensure quality deliverables.

Own and validate quantitative financial datasets used for factor and risk models: onboard and reconcile vendor sources, build automated data validation/monitoring, investigate anomalies, write Python/SQL pipelines, maintain documentation and runbooks, and collaborate with internal teams and vendors to productionize and maintain reliable data workflows.

Support sales and CPG category management through multi-source data analysis (retailer POS, NielsenIQ/Circana). Produce insights, presentations, and recommendations for assortment, item performance, and store clustering. Collaborate with clients, Category Management, and Space Technology teams to drive action and deliver quality results.

Develop and maintain data cleaning and processing pipelines, manage databases using R/Python/SQL, create analytic datasets in UNIX/HPC environments, build containerized data products, document code and metadata (JSON), and support senior staff with debugging and cluster troubleshooting for environmental health research.

The Consultant, Data Analytics will lead data-driven projects in the pharmaceutical sector, fostering innovation and providing insights through analytics and technology facilitation.

The Sr. Director of Biostatistics will lead statistical support for clinical studies, oversee biostatistics teams, and ensure statistical integrity in analyses and reports.

Lead marketing measurement, reporting, and analysis for digital, social, and traditional programs. Design analytics implementations, run exploratory analysis and A/B tests, define KPIs, present insights to clients, and mentor analytics teams to drive optimization and ROI.

Lead development of customer-facing analytics and internal dashboards by building advanced SQL models, optimizing visualizations, and maintaining data models. Drive analytics priorities, improve team processes, present findings to leadership, and participate in agile planning and peer review to support product, operations, and commercial teams.

Drive mobile app growth through ad-hoc SQL analysis, dashboards, and BI tools; partner with CEO/CFO to provide insights, streamline ETL/ELT pipelines, and optimize user acquisition, retention, and monetization.