Top Data & Analytics Jobs in Boston, MA

This Data Analytics Co-op involves collaborating with teams to develop analytical solutions, enhance fulfillment performance, and contribute to data modeling and dashboard creation.

The Data Governance Manager ensures data integrity in Salesforce and other systems for Retail Media, overseeing data governance strategy and practices, improving data accuracy, and facilitating reporting for sales and marketing teams.

As a Principal Analytics Engineer, you'll drive the architecture and data infrastructure for the Customer Success team, transforming raw data into analytics-ready datasets, collaborating across departments, and ensuring data reliability and consistency.

The Principal Data Engineer will design and build scalable data pipelines and infrastructure for Customer Success, ensuring data quality and governance, collaborating with various teams to support analytics and reporting needs.

The Manager of Media Analytics & Optimization will lead media performance measurement, drive insights for decision-making, and foster collaboration with senior stakeholders, while utilizing skills in analytics and AI.

The Senior Business Analyst will collaborate with various teams to analyze data, drive product strategy, develop health KPIs, and provide actionable insights to improve member experience.

As a Distinguished Data Engineer, you will lead the technical strategy for data pipelines, driving innovation and best engineering practices while mentoring internal teams and influencing stakeholders across the enterprise.

The Senior Product Data Analyst at CarGurus will analyze complex data, present insights to leadership, and create data assets to influence product strategies and enhance user experiences.

Lead R&D Support for Clinical and Research, manage application portfolios, oversee service performance, engage teams for effective delivery, and foster innovation in solutions.

The Customer Value Manager drives ROI analysis, builds business cases, partners with teams, and ensures customer satisfaction throughout the lifecycle.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.