Top Hybrid Data & Analytics Jobs in Boston, MA

The Manager of Business Analytics will develop brand measurement strategies and lead media effectiveness analysis to optimize marketing investment and drive member growth.

Support client engagements applying optimization, operations research, and AI-enabled analytics to logistics, transportation, warehousing, and distribution. Build models (LP/IP, network flow, heuristics, simulation), analyze messy data, design AI-enabled decision systems, produce client-ready deliverables, and collaborate with stakeholders to implement recommendations.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

The Analyst will support the design, administration, and performance analysis of Sales Compensation programs, collaborating with stakeholders and leveraging tools for effective execution.

The Associate Director, Biostatistics is responsible for statistical guidance in clinical study design, data analysis, and regulatory submissions, leading clinical study teams to ensure timely and quality outcomes.

The Technical Privacy Compliance Manager will oversee and scale DraftKings' DSR and data lifecycle programs, collaborating with various teams to implement data management solutions while ensuring compliance with privacy regulations.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

As a Salesforce TPM Manager, you will lead Trade Promotion Management implementations, translate requirements into solutions, mentor teams, and foster client relationships while ensuring adherence to project quality and timelines.

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

The Data Engineer will design and develop data platforms, manage ETL pipelines, optimize data models, and ensure data governance within an Agile team.