Top Hybrid Data & Analytics Jobs in Boston, MA

Lead commercial analytics to diagnose sell-through, pricing, promotions, assortment, and retailer execution. Build causal measurement, test-and-learn designs, elasticity and incrementality analyses, and deliver executive-ready recommendations to optimize revenue, margin, and share.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

As a Data Engineer, you'll transform raw data into refined offerings, collaborate with stakeholders, build central logic layers, and leverage AI tools for efficient data workflows.

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 Relativity Archiving Analyst will archive and purge data from Relativity workspaces, move file shares to archives, and document the archiving process while collaborating with DOJ management.

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.

Partner with stakeholders and technical teams to gather requirements, analyze processes and data, build dashboards and reports, manage CRM activities, drive data quality and automation, support UAT, and deliver insights to improve revenue operations across sales, marketing, and customer success.

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.

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.

Serve as onsite liaison between OpCo leaders, business stakeholders, and development teams to gather requirements, define functional specs, prioritize work, coordinate delivery, validate analytics solutions (Azure, Power BI, Tableau, Oracle EIS), support UAT, and drive stakeholder alignment and change adoption in manufacturing environments.