Top Data & Analytics Jobs in Madison, WI

Conduct research, due diligence, and landscape analyses to identify high-potential grantees in data and AI for social good. Produce evidence-based recommendations, monitor portfolio outcomes, synthesize learnings, and support Strategic Capital projects and external engagement to inform grant decisions and strategy.

Collect, analyze, and interpret complex data; develop and maintain databases, data systems, and processes; create visualizations, reports, and dashboards; collaborate with stakeholders and data teams; develop data and statistical models to solve business problems and stay current with industry tools.

Lead analyses to improve conversion and efficiency across the mortgage origination funnel; define success metrics, partner with Sales, Operations, Product and Engineering, produce actionable insights, and shape the analytics roadmap.

Support day-to-day reporting and analytics: respond to reporting requests, build and maintain dashboards in Sigma, create ad hoc reports, reconcile datasets, define metrics with stakeholders, document reporting logic, and assist on larger analysis and rollout efforts.

Develop and optimize data pipelines for reporting and advanced analytics. Ensure data quality and create real-time processing applications. Collaborate with DevSecOps teams and enhance data management procedures.

Lead analytics projects by designing datasets, writing advanced SQL, building dashboards (Tableau/Power BI), conducting statistical analyses and A/B tests, mentoring junior analysts, and partnering with cross-functional teams to drive data-informed decisions and improve member services.

Own customer reporting and analysis across lifecycle metrics (acquisition, retention, churn, LTV). Write and optimize complex SQL in Snowflake, build standardized datasets and dashboards, analyze cohorts and subscription dynamics, support experimentation and measurement, ensure data accuracy through QA and documentation, and deliver executive-ready insights to cross-functional teams.

The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Design and maintain cloud data lake architecture, build ingestion and transformation pipelines from SaaS sources, enable analytics and BI (Tableau/Looker), enforce governance, and lead technical direction across teams.