Top Hybrid Data & Analytics Jobs in Boston, MA

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

Lead digital measurement and analytics for Amfam.com, owning GA4 implementation, tracking, and reporting. Analyze traffic, engagement, conversion, and e-commerce performance; develop automated reporting and decision analytics; audit and maintain data integrity; and collaborate cross-functionally to translate insights into actions that improve conversion and digital outcomes.

Lead a team to define and execute analytics roadmap, develop dashboards and executive reporting, manage BI platforms, ensure data governance and security, partner with leaders to prioritize analytics initiatives, and drive operational performance through insights.

Work with business units to document and remediate unstructured data practices across repositories. Conduct interviews and workshops, elicit and manage requirements, support taxonomy and classification, translate needs into user stories and implementation recommendations (including Microsoft Purview controls), develop process documentation and training, and support audit, remediation and governance activities.

Lead prospect research, pipeline development, and due diligence to identify and prioritize major gift prospects. Conduct in-depth donor research, prepare concise briefing products, analyze wealth and philanthropic data, integrate AI tools responsibly, and collaborate with fundraisers to inform portfolio strategy and gift acceptance decisions.

The Senior Director, Business Analytics leads enterprise analytics for Scholar Rock's commercial launch, defining strategies that support decision-making and growth initiatives.

The Biostatistics Director will oversee biostatistical functions, manage teams, and direct complex projects in drug development, contributing technical insights and leading collaborations.

Maintain and evolve GMO's security master and portfolio data platforms (NeoXam DataHub, Aladdin, Eagle PACE). Analyze large datasets using Python, SQL, and Excel to identify data quality issues, define business requirements, support conversions/migrations, implement controls/automation, and collaborate with stakeholders to modernize data validation and onboarding processes.

Lead development of customer-facing analytics and internal dashboards by building advanced SQL models, data transformations, and visualizations. Collaborate in Agile team ceremonies, prioritize work, improve processes, validate analyses, and present actionable insights to stakeholders and senior leadership.

Lead analytical method validation and drive process excellence initiatives. Collaborate with CDMOs, support quality systems, and manage documentation for regulatory compliance.