Top Data & Analytics Jobs in Boston, MA

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 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.

Develop and apply advanced statistical models, design custom analyses (Python/R/Tableau/SAS/Excel), synthesize and present results to clients, manage client relationships, create deliverables, and mentor junior team members.

The role involves building and improving WHOOP's data platform infrastructure, ensuring reliability and efficiency, and driving best practices across engineering and data workflows.

The Senior Analytics Engineer will develop data infrastructure, optimize data systems, ensure data quality, and collaborate on scalable data models and pipelines, focusing on analytics support.

Lead reporting and analytics for the finance domain, translate business requirements to product and tech teams, own data migration and roadmap, ensure data quality, enable data-driven automation and ML, coordinate organizational readiness for reporting transition, and manage stakeholder communications to deliver measurable business outcomes.

As a Salesforce TPM Manager, you will lead Trade Promotion Management implementations, translate requirements into solutions, mentor teams, and foster client relationships while ensuring adherence to project quality and timelines.

As a Privacy Specialist, you will manage data inventory operations, document data flows, and ensure compliance with privacy regulations while collaborating with internal teams.

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

Analyze large pricing, sales, product usage, and market datasets to identify revenue opportunities; build price elasticity and discount/win-rate models; design dashboards; support pricing operations, competitive benchmarking, pricing tests, and cross-functional pricing decisions; present recommendations to stakeholders.

Perform moderate-to-high complexity analyses across Treasury functions, build predictive models and dashboards, query and validate data, present findings to stakeholders, support AI/automation adoption, document sources and mentor junior analysts.

Lead data and software QA for enterprise data platforms: define testing strategy, build automated test frameworks, validate ETL/ELT and data transformations, run data quality checks and reconciliations, test APIs and data products, analyze datasets with SQL to find defects, drive root-cause resolution, participate in Agile ceremonies, and mentor team members to improve quality practices.