Top Data & Analytics Jobs in Boston, MA

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

The People Analytics & AI Intern will assist in designing and scaling AI-driven HR solutions, improving processes, and enhancing employee experience through analytics and automation.

The Analyst IV is responsible for delivering scalable, secure POS and Payments technology solutions, leading design and integration, and ensuring system performance along with troubleshooting support.

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.

As a Senior Data Analyst in Marketing Analytics, you will analyze data, build dashboards, and form insights to influence marketing and sales strategies. This high-visibility role collaborates with key stakeholders and requires strong technical skills in data modeling and visualization.

The Associate Program Manager will manage analytics and reporting projects, deliver insights into customer behavior, create visualizations, and partner with teams to improve customer experience.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

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 Privacy Specialist, you will manage data inventory operations, document data flows, and ensure compliance with privacy regulations while collaborating with internal teams.

The Principal Product Analytics Engineer leads the design and architecture of Toast's product analytics ecosystem, ensuring reliable and scalable data for analysis across various platforms. This role involves creating data frameworks, implementing quality controls, and collaborating with cross-functional teams to support data-driven product development and AI insights.