Top Data & Analytics Jobs in Madison, WI

The TECH Program Associate will gain experience in data science and engineering across multiple teams, completing projects and presenting results. Responsibilities include coding, collaborating on data products, and analyzing requirements.

The Business Systems Analyst Consultant at PNC will provide IT solutions, manage cross-functional applications, and improve business processes based on client needs and feedback.

The Senior Manager of Analytics Engineering will lead a team to develop data infrastructures, ensure operational efficiency, and align with cross-functional partners to support strategic decisions.

The role involves analyzing marketing and growth metrics, supporting decision-making through data insights, and optimizing reporting frameworks across functions.

This role involves advanced data transformations, analysis and visualization to support financial and operational insights, particularly in a B2B SaaS environment.

The Data Systems Manager will oversee data architecture, implement MDM strategies, ensure data quality, and drive governance initiatives to support business intelligence.

The Sr. Business Manager at Capital One Shopping leads strategies for growth while managing analyses and collaborating across teams to optimize products and marketing efforts.

The Principal Credit Risk Analyst leads credit risk evaluation, monitoring, and optimization for lending portfolios, collaborating with cross-functional teams to drive informed growth and ensure compliance with regulatory standards.

As a Senior Actuarial Assistant, you will perform complex analyses, support risk insights development, and collaborate with product teams, ensuring quality data and actuarial techniques are used to inform business decisions.

The Graph Engineer designs and manages knowledge graphs, optimizing data for AI applications, supporting analytics, and collaborating with teams to implement data solutions.

The Data Engineer will design and implement data science capabilities using Azure and Databricks, focusing on data processing, identity resolution, and advanced analytics support.