Top Senior Data & Analytics Jobs in Madison, WI

This role involves defining data platform standards and integration patterns, mentoring engineers, and maintaining best practices in Azure and Databricks environments. The lead will ensure efficient data management and governance across global teams while advocating for DataOps and CI/CD practices.

The Actuary will drive pricing strategies, transform technical analyses into actionable insights, and support pricing processes while collaborating with cross-functional teams.

This role focuses on driving data-driven decisions in Paid Media strategies by analyzing performance metrics, optimizing media investments, and collaborating with various teams to enhance customer acquisition.

The Senior Customer Lifecycle Analyst will enhance marketing performance by leveraging technical expertise in customer lifecycle management, evaluating campaign effectiveness, and providing strategic insights to optimize marketing strategies.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

Lead the design of a secure, governed Data Lakehouse platform for FinTech, focusing on data protection, integration, and governance. Responsibilities include implementing security strategies, managing data pipelines, and ensuring compliance with data regulations.

The Sr. Actuarial Analyst develops financial forecasts for healthcare partners, optimizing processes and conducting data analysis to enhance decision-making.

The Data Architect II designs and manages data architecture, ensuring data governance and quality across platforms. Responsibilities include integrating data systems, enhancing data strategy, and mentoring junior team members.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

The Data Manager will maintain data integrity in HubSpot, optimize data workflows, generate reports, and enforce data governance. Responsibilities include managing integrations and supporting ad hoc analysis for cross-functional teams, requiring strong analytical skills and startup experience.