Top Hybrid Data & Analytics Jobs in Boston, MA

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

Lead design and maintenance of data warehouse architecture, schemas, and ETL to support reporting and BI. Provide Oracle DBA support (configuration, backup, tuning), integrate enterprise systems (Workday, Cayuse, Lawson), enforce data governance and security best practices, and collaborate across IT to document and optimize data solutions.

Lead global marketing data, analytics, and reporting strategy. Drive data quality, unification, and acquisition; build measurement plans, predictive models, and PowerBI reporting; partner with executives to create a data and reporting roadmap, enablement workflows, and analytics governance to improve marketing effectiveness.

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.

Analyze NPS, OSAT, research, journey analytics and operational metrics to identify customer friction, root causes and opportunities. Generate executive-ready insights, forecast NPS, build dashboards, and partner with stakeholders to drive prioritized CX actions, measure outcomes, and ensure accountability.

Build and maintain the company-wide data foundation for FinOps; develop pipelines, dashboards, and operating scorecards; support stakeholders across commercial, finance, clinical ops, and operations; validate metrics with analytics engineers; transform messy datasets into actionable insights and adopt AI-powered workflows to improve efficiency.

Provides individualized research and data consultations to Harvard Kennedy School faculty, students, and fellows. Identifies datasets, supports research design, methods, analysis, data management, citation tools, and reproducibility. Designs and delivers workshops, develops instructional resources, administers course technology licenses, manages access to licensed data and software, reviews data management plans, and embeds research and data literacy into courses and orientations.

Leads enterprise data integration and engineering capabilities, including APIs, middleware, ELT pipelines, data governance, master data management, and cloud analytics platforms. Designs secure, compliant integrations across ERP, CRM, clinical, research, quality, finance, and commercial systems. Establishes architecture standards, data quality controls, monitoring, validation, and support processes while coordinating internal engineers, vendors, and business stakeholders. The role also provides technical leadership for trusted datasets, regulatory compliance, operational reliability, and commercialization readiness.

Build and maintain cloud-native data pipelines, reusable data frameworks, and modeled datasets for analytics and AI. Implement data quality, monitoring, governance, testing, CI/CD, and performance optimization. Troubleshoot production issues, support incident response, and collaborate with data, analytics, finance, sales, and operations teams to deliver scalable enterprise data solutions.

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.