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

Perform retail category analysis using POS and syndicated data (NielsenIQ/Circana) to evaluate item performance, assortment, and store clustering. Produce insights, presentations, and recommendations, collaborate with CPG Category Management and Space Technology teams, and communicate with clients to drive category actions.

Lead and grow the analytics function, manage analysts, partner with business leaders, develop dashboards and KPIs (Tableau/Power BI), oversee data warehouse and ETL/ELT pipelines (e.g., Snowflake), ensure data governance, quality, and compliance, and drive data-informed decisions across member growth, lending, deposits, and digital engagement.

Oversee client proposals and projects, leveraging coding skills for data processes, mentoring teams, and identifying growth opportunities in life sciences.

Turn complex data into actionable insights for National Accounts by performing statistical analysis, forecasting, modeling, and automated reporting. Build dashboards and executive presentations, diagnose data quality, partner with account teams, data engineers, and finance to influence decisions and track performance metrics.

Lead the design and evolution of the enterprise data platform, establish standards, mentor teams, and collaborate across departments to deliver high-quality data products.

Lead supply chain analytics initiatives by translating business needs into functional requirements, partnering with engineering and analytics teams to design, deliver, and support Databricks/Power BI-based data products across the SDLC, improving forecasting, transportation, replenishment, and customer service.

The Senior Relativity Archiving Analyst will vet, archive, and purge Relativity workspaces and file shares, collaborating with management and documenting the approval process for archived data.

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

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.