Top Senior Data & Analytics Jobs in Boston, MA

Lead analytics and reporting for Center Store sourcing: build tools and dashboards, support negotiation prep and RFPs, identify savings and growth opportunities, manage project timelines, train associates, and partner cross-functionally to drive financial results and process improvements.

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.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

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

Lead and mentor a data engineering team to design, build, test, and support cloud-based, real-time data platforms and distributed microservices using modern big data, streaming, and data warehousing technologies to deliver scalable customer and enterprise experiences.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

Lead product analytics for the Dealer team: run exploratory analyses, build and audit metrics, create dashboards, automate data transformations (dbt/LookML), partner with Data Engineering, and present insights to influence product strategy. Use SQL, Python/R, and GenAI tools to solve complex data problems and improve product performance.

Lead design, development, and delivery of enterprise data engineering and software solutions for PwC Tax. Drive client engagements, business development, architecture and integration, mentor teams, and ensure data integrity and compliance while promoting advanced engineering practices.

Lead analytics to optimize the auto quoting and policy lifecycle experience, focusing on new-business growth and retention. Analyze quote flows, prefill data, risk classification, midterm/renewal logic, and competitive intelligence. Partner with Distribution, Data Science, Risk, Underwriting, Technology and Service teams to design, test, and implement experience improvements and provide actionable recommendations to increase engagement, reduce friction, and improve persistency and lifetime value.

Own and govern centralized data assets; design scalable dbt/Snowflake models; model Stripe subscription and payments data; set SQL standards, testing, monitoring and documentation; lead complex BI projects in Hex; partner with product, engineering, operations and GTM to deliver durable analytics solutions.

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