Top Data & Analytics Jobs in Boston, MA

Lead design and implementation of enterprise data governance: define standards, operating model and AI-ready data criteria; partner with data product managers, engineering, security, legal and privacy to operationalize metadata, lineage, access controls, quality monitoring, and self-service for analytics and AI.

Partner with Growth Marketing to analyze campaign performance, quantify opportunities, build dashboards, and communicate data-driven recommendations. Own analytics for reach and partnership channels (including Audio and Influencer), apply A/B testing and experimental design, and explore LLM-powered tools to improve workflows and decision-making.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Build and own the Snowflake/dbt data infrastructure for WHOOP's financial planning model: standardize financial actuals, develop Snowflake-native functions and stored procedures, translate FP&A modeling into version-controlled SQL/dbt models, integrate source systems, implement data quality tests, support Sigma front-end, document lineage, and apply software engineering best practices while implementing AI-augmented forecasting and automation.

Build and maintain scalable dbt models in Snowflake, implement data quality tests and documentation, collaborate with Analytics and Data Engineering on ingestion and warehouse optimization, support data governance and apply software engineering best practices to analytics code.

Lead and scale the Analytics Platform team owning WHOOP's analytics data model, semantic layer, and tooling. Hire and develop analytics engineers, align platform engineering and analytics on architecture and data contracts, enforce engineering standards (CI/CD, testing, data quality), drive cross-team data initiatives, and communicate data strategy to senior leadership.

Support Commercial and Supply Chain with analytics and reporting: design and automate reports, build dashboards, perform complex correlation and predictive analyses, ensure data integrity across stakeholders, lead requirements and data flow design, and present actionable insights to leadership.

Own end-to-end data pipelines and production-grade dbt models (Snowflake) for Sales and Product analytics. Build governed data marts, dimensional models, and reverse ETL workflows. Improve data quality, testing, monitoring, and documentation. Partner with GTM, Product, and BI stakeholders, mentor peers, and contribute to platform tooling (Airflow, Terraform, AWS) to enable reliable, scalable analytics.

Lead analytical monitoring and strategic analysis for homeowners insurance, translate findings into executive recommendations, present to senior leadership, partner across the business to drive profitable growth, and mentor junior team members.

Lead data validation and risk analytics initiatives for clients, applying advanced analytics, data manipulation, visualization, and predictive modeling. Set strategic direction, oversee multiple projects, cultivate executive client relationships, mentor teams, and drive business development while ensuring data integrity and security.

Design, build, and own the full data platform (ingestion, modeling, CI/CD, orchestration, observability, and BI). Implement streaming and batch pipelines for IoT data, enable governed self-service, enforce data governance/privacy/security, evolve AI access patterns, and provide technical leadership and mentorship to data engineers and data scientists to deliver production-ready analytics and ML capabilities.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.