Top Data & Analytics Jobs in Madison, WI

The Senior Data Engineer will construct and optimize data pipelines, work with cross-functional teams, ensure data quality and governance, and mentor junior engineers while leading advanced analytics initiatives.

Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.

Perform default reporting and analytics for mortgage servicing portfolios, validate and troubleshoot data and exception reports, conduct root-cause analysis, produce ad-hoc reports, document processes, and collaborate with default management to ensure regulatory-compliant, accurate reporting delivery.

Manage day-to-day execution of regional assessment builds and readiness operations in Renaissance (Illuminate) DnA, maintain data quality and compliance, coordinate vendor data collection, develop documentation and training, support regional stakeholders, and continuously improve assessment and data workflows to ensure timely, accurate reporting.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Lead end-to-end encounter data management for CMS/state Medicaid submissions. Validate and optimize ETL converting source data into HIPAA X12 837P, support regulatory audits, analyze trends and root causes, liaise across business/technical/operations teams, and recommend process improvements to ensure compliance and data integrity.

Lead credit risk analytics for consumer credit card acquisition and account management. Develop and maintain quantitative models, analyze large datasets, monitor portfolio risk, prepare risk reports, ensure regulatory compliance, and present findings to senior leadership to inform risk mitigation strategies.

Lead architecture and delivery of a cloud-native, petabyte-scale data platform: define technical roadmap, mentor engineers, build ETL/ELT pipelines, enable real-time streaming, implement Iceberg table format, optimize Snowflake/Redshift/Athena compute, and integrate observability with Splunk.

Design, build, and optimize scalable AWS-based data pipelines, data lakes, and warehouses. Migrate legacy systems, enforce data quality/security/governance, implement ETL/ELT and big-data solutions, adopt CI/CD and IaC, collaborate with stakeholders, and provide technical leadership and troubleshooting.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

Lead cross-functional analyses and build scalable reporting for go-to-market teams. Develop and automate data pipelines, create interactive dashboards, improve data quality, and translate complex findings into actionable recommendations for stakeholders and executives.