Top Data & Analytics Jobs in Boston, MA

The Senior Manager will oversee the end-to-end Lead-to-Opportunity lifecycle, manage a technical team of Salesforce Developers and BSAs, and ensure system scalability and accuracy while fostering a collaborative culture.

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.

The Analytics Engineer will build and optimize data transformation models, assist with BI tools, support stakeholders, document processes, and implement AI tools, contributing to a data platform under mentorship.

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.

The Associate Business Systems Analyst supports data systems design, gathers requirements, documents processes, and collaborates with teams to improve systems and explore AI applications.

As a Data Engineer, you will develop scalable data pipelines, optimize performance, ensure data reliability, and collaborate with cross-functional teams on AI-driven features and analytics.

The Investment Data Performance Analyst manages quarterly investment statements, ensures accurate reporting, addresses queries, and advocates for AI-enhanced operational efficiency.

The Finance Data Governance Consultant ensures governance for Finance data domains, defines standards, resolves conflicts, and partners with experts to enhance data quality and usability.