Top Data & Analytics Jobs in Boston, MA

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

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

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.

Lead Data Engineer responsible for designing data models, implementing data solutions, managing data pipelines, and collaborating with teams to drive technical initiatives.

Lead design, develop, test, deploy and support cloud-based data engineering solutions. Work across Agile teams on distributed, real-time and batch data platforms, mentor engineers, and optimize code and data pipelines using big data, streaming, and cloud data warehousing technologies.

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.

The Sales Revenue Analyst will manage commission processes, analyze compensation results, and partner with various departments to optimize sales performance.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.

The Senior Consumer Insights Analyst leads consumer insights within cross-functional teams by managing research processes, synthesizing data, and delivering actionable findings to influence product development and strategy.

Own end-to-end analytics for Chewy's Pharmacy and related businesses: deliver deep-dive analyses, build self-service dashboards and KPIs, partner with finance and engineering to enable new data sources, conduct QA/UAT, and produce documentation and training to drive customer experience and financial 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 process improvement and analytics for SDLFS: identify opportunities, prioritize initiatives, build dashboards and technology solutions, manage travel/expense and fleet programs (Concur, Motus, Wheels), govern ESG reporting, oversee vendors and budgets, translate business needs to IT, and lead a team of analysts to deliver measurable operational improvements.

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.