Top Data & Analytics Jobs in Boston, MA

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

The Platform Engineer, ClickHouse administers and secures ClickHouse clusters, manages Kafka ingestion, integrates with AWS, and ensures CI/CD practices. Responsibilities include schema management, access control, and cluster health monitoring.

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

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.

This role leads reporting and analytics for business transformation, managing data requirements and collaborating across teams to enhance reporting processes.

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

As a Data Scientist, you'll build and maintain portfolio systems, design risk frameworks, run backtesting experiments, and collaborate across teams to enhance portfolio analytics using AI-driven predictions.

Design, build, and maintain high-throughput data processing services, focusing on streaming and batch data systems to enhance player experiences.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

This role focuses on post-sale technical execution, ensuring customer onboarding and deployment, driving customer consumption of products, writing production code, diagnosing issues, and expanding adoption across teams.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

As a Data Engineer, you'll transform raw data into refined offerings, collaborate with stakeholders, build central logic layers, and leverage AI tools for efficient data workflows.