Top Hybrid Data & Analytics Jobs in Boston, MA

Lead and scale a casino analytics team to set analytics vision, drive experimentation strategy, and deliver executive-level insights. Partner with Revenue Operations, Data Science, and Product to build reporting, monitoring, and analytical frameworks that surface trends, risks, and growth opportunities. Coach leaders and analysts, align analytical roadmaps with business objectives, and foster analytical excellence and accountability.

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.

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.

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.

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 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.

Lead data validation and risk analytics for client engagements, using advanced analytics, data manipulation, visualization, and statistical modeling. Set strategy, drive business development, manage multiple projects, mentor teams, ensure data integrity and security, and cultivate executive client relationships to drive growth.

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.

Serve as the bridge between business and the Product Master Data Management (PMDM) solution: gather and translate requirements, lead UAT and training, prioritize product backlog with Product, monitor tool performance with analytics, support tickets and root-cause analysis, and drive change management to optimize item lifecycle processes.

Lead design and maintenance of data warehouse architecture, schemas, and ETL to support reporting and BI. Provide Oracle DBA support (configuration, backup, tuning), integrate enterprise systems (Workday, Cayuse, Lawson), enforce data governance and security best practices, and collaborate across IT to document and optimize data solutions.

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

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

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