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.

The Analytics Engineer will build and optimize data transformation models, assist with BI tools, support stakeholders, document processes, and implement AI tools, contributing to a data platform under mentorship.

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.

Lead technical sales and strategy for IonQ's quantum memories team, engaging with scientists and executives, and aligning customer goals with technology capabilities.

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