Top Data & Analytics Jobs in Madison, WI

As a Senior Data Scientist, you will apply statistical techniques on weather data, improve operations, and lead projects while collaborating with teams.

Looking for a Senior Technology Informatica Architect with over 11 years of IT experience focusing on DW/BI, design and architecture, and consulting. Requires extensive knowledge of ETL frameworks and performance tuning, along with strong communication and analytical skills.

The Data Modeler will work on dimensional and operational modeling, focusing on data dictionary work, XML schema design, and profiling sources into target models. Communication with clients and offshore teams is essential.

As a Consultant in Network MDM, you'll provide strategic advisory and application administration for clients live with Veeva Network, optimizing their MDM systems and ensuring compliance with business needs and regulations.

Design and maintain business intelligence applications, resolve technical issues, and aid business decision making using BI tools.

Lead the design and implementation of OBIEE 12c solutions for UW-Madison. Act as an architecture resource, ensuring best practices in business intelligence are followed.

The Insights Manager leads qualitative and quantitative research projects to uncover consumer insights, informs strategy, and presents actionable recommendations. Responsibilities include designing research approaches, managing projects, analyzing data, and monitoring trends to enhance client understanding and decision-making.

Lead and manage data integrity initiatives, ensuring compliance with industry standards and regulatory requirements while mentoring a team and coordinating cross-functional activities.

Support enterprise and ad-hoc reporting, define business metrics, analyze complex datasets with SQL and Python, build repeatable ETL and reporting workflows, develop Tableau dashboards, validate data quality, document metric logic, partner with stakeholders, mentor junior analysts, and drive automation and process improvements to enable data-driven decisions.

Embed with a core business area to define problems, build metrics, run analyses and experiments, generate actionable insights, and drive product, growth, AI, or partnership outcomes end-to-end.

Lead end-to-end analytics for an assigned business area (growth, product, AI, or partnerships). Define problems, build metrics, reports, experiments, and analyses, surface insights, and drive recommendations and execution to improve key business outcomes.

Embed with a core business area to define problems, build reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI, or partnerships.