Top Hybrid Data & Analytics Jobs in Boston, MA

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 SQL DBA / Systems Analyst will manage database environments, perform ESI processing, support eDiscovery tools, and lead testing efforts for software upgrades.

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.

Build and maintain reliable data warehouse models and pipelines to power GTM metrics, dashboards, and automation. Partner with Sales, CS, Product, and Engineering on instrumentation, CRM and usage modeling, data quality, observability, forecasting, and actionable data products for GTM teams.

Develop and deliver Power BI dashboards, semantic models, and reports. Partner with stakeholders to gather requirements, support data modeling and transformation, ensure data quality and governance, troubleshoot BI platform issues, enable self-service analytics through training and documentation, and provide user support.