Top Senior Data & Analytics Jobs in Madison, WI

The Director of Data & Analytics will lead the internal analytics function, developing data models, analytical frameworks, and savings methodologies to support value-based care and market expansion at RightMove.

The Data Architect will modernize the data ecosystem, design data pipelines, ensure data governance, and align data strategies with business needs to enhance analytics capabilities.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

The Senior Data Engineer will design and maintain data infrastructures, support analytics, and collaborate with stakeholders to improve data quality and governance while utilizing DBT and AWS tools.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

The Pricing Systems Lead will build the analytical foundation for pricing, design pricing experiments, connect pricing systems, and provide commercial insights to optimize the pricing strategy across Nivoda's platform.

As a Senior Data Analyst, you will translate business requirements into technical data specifications, manipulate large datasets, and support data initiatives while partnering with clients and teams to improve data quality and governance.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

As Head of Data, you'll oversee data strategy and team management at BetterSleep, focusing on analytics engineering, product analytics, and data governance while fostering a culture of AI adoption.