Top Data & Analytics Jobs

The Forward Deployed Product Manager engages with clients to understand their needs, translates data requirements, and drives product adoption and strategy to maximize data value.

Design and document enterprise data architecture and information models, partner with business and IT to optimize cloud data models and governance, guide MDM/metadata/warehouse efforts, assess impacts of new systems/tools, and implement Databricks Lakehouse and Delta Lake solutions.

The MRB Administrator ensures product quality by managing nonconforming materials, facilitating MRB meetings, conducting root cause analyses, and ensuring compliance with GMP standards.

As a Quantitative Researcher, you'll build and analyze statistical models, manage research processes, and optimize quantitative code while solving complex problems in financial markets.

The Lead Data Analyst will solve complex business problems using large datasets, automate workflows, and provide insights to influence marketing and growth strategies. Responsibilities include data analysis, statistical modeling, and collaboration with various teams to improve efficiency and decision-making.

Own ingestion, transformation, validation, and normalization of clinical and EHR data pipelines (HL7 v2, FHIR, CDC) into performant Snowflake and MySQL schemas. Build and monitor AWS-based pipelines, ensure data quality and PHI-compliant handling, and support downstream ML and application needs across enterprise integrations.

Develop and prototype software and modeling solutions for factory automation. Perform discrete event simulation, statistical analysis, and modeling to solve manufacturing and stochastic systems problems. Collaborate with cross-functional teams and industry partners to validate ideas and drive manufacturing roadmap improvements.

Design, build, and maintain scalable ETL/ELT pipelines, data warehouses, and data lakes. Ensure data quality, governance, and security while enabling BI and analytics. Provide technical leadership, mentor junior engineers, and collaborate cross-functionally to drive architecture and implementation.

Senior Business Systems Analyst supporting Merchandise Planning & Allocation systems. Partners with business stakeholders to gather requirements, design and implement system enhancements, create reports and dashboards, perform testing and validation, troubleshoot issues, and provide user training and documentation to improve planning and allocation processes.

Define and build the Solution Data Repository as an enterprise data platform: set technical vision, design ontologies and schemas, select tech stack, define APIs and integration patterns, lead implementation, enforce engineering governance, and align cross-functional teams to enable lifecycle continuity and enterprise-scale AI.