Top Hybrid Data & Analytics Jobs in Boston, MA

Lead a team to design and operate scalable Databricks/lakehouse platforms, ETL/ELT pipelines, data models, BI dashboards, and productionized ML. Ensure data quality, governance, and deliver actionable analytics and KPIs to drive business decisions while mentoring engineers, scientists, and analysts.

Owner of client relationship who analyzes syndicated and shopper data to produce category-centric insights, reporting, and recommendations; builds presentations, manages projects, and supports category review and performance measurement.

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.

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.

Manage biographical data integrity for AA&D CRM (Advance): oversee scheduled data projects (graduation conversions, NCOA, voter files), design batch imports/exports, run data cleaning and QA, build queries/reports with SQL and BI partners, test changes, supervise one direct report, and collaborate across teams to improve processes and leverage AI/RPA for efficiency and accuracy.

The Data Engineer will modernize and stabilize the data platform, optimize ELT/ETL pipelines, ensure data quality, and collaborate on AI architecture.

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.

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.