Top Data & Analytics Jobs in Boston, MA

Lead Data Engineer will design, build, test, and support cloud-based data solutions and streaming systems. Collaborate with Agile teams and product managers, mentor engineers, implement big data tooling (Spark, Kafka, EMR), and optimize data warehousing (Redshift, Snowflake) using Java/Scala/Python and SQL. Ensure code quality with unit tests and reviews.

Design, develop, and maintain enterprise data pipelines, ETL/ELT workflows, and data management processes in Markit EDM. Integrate market, reference, and transactional data from vendors and APIs, implement data quality checks and reconciliations, support reporting and downstream integrations, troubleshoot production issues, and mentor junior engineers within an agile squad-based team.

Lead a team of analysts to produce forecasting, monthly reporting, and deep performance analysis for direct sales (phone and digital). Translate data into insights, identify drivers and root causes, partner with Finance and analytics teams, and drive an AI/automation roadmap to improve reporting and efficiency.

Lead forensic claims analyses to support legal, regulatory, and compliance needs. Partner with stakeholders to define scope, deliver extracts, statistical summaries, predictive metrics, and dashboards using SQL/Snowflake, SAS/ Python and BI tools. Ensure audit-ready QA, documentation, reproducibility, and reusable code. Mentor junior analysts and collaborate with data engineering to improve data products and automate recurring requests.

Lead analytical efforts across product domains, manage a team of analysts, develop tools for analytics at scale, and influence product strategy through insights.

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

Senior BI Platform Administrator to own enterprise BI infrastructure across Power BI, Microsoft Fabric, and Snowflake. Responsibilities include federated Power BI governance, Fabric AI Agent skill design and deployment, RBAC/RLS design, certified semantic model development, CI/CD and SRE practices for platform reliability, and measuring adoption. Partners with Data Engineering, IT Security, AI/ML, and business stakeholders to drive secure, performant analytics and AI-powered experiences.

Support Health & Sustainability reporting by collecting, validating, and auditing ESG data across business teams. Produce periodic and quarterly reports (healthy sales focus), analyze trends, ensure data accuracy in Enablon, provide insights to brand leads, drive process improvements, run ad-hoc analyses, and support implementation and training for reporting changes.

Lead analysis of large-scale payment and customer-behavior datasets to inform strategy, experimentation, and operations. Build scalable reporting and experimentation frameworks, partner with cross-functional teams, and translate insights into executive-ready recommendations that improve payment performance, customer experience, and platform reliability.

Lead a team to operate and scale CarGurus' data platform across ingestion, orchestration, storage, and observability. Own roadmap, SLAs, cost, security, and quality controls; improve developer experience; collaborate with product and stakeholders to prioritize initiatives, resolve incidents, and drive platform reliability and scalability.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.