Top Analysis Reporting Jobs in Milwaukee, WI

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Support the Program Manager by ensuring timely, accurate case-management data entry and reporting to funders. Audit data, develop QI procedures, design and modify reports (Excel/Access), document data sources and workflows, reduce duplicate entry, analyze data requests, collaborate with staff and vendors, and provide training and guidance to less-experienced team members.

Design, create, and validate datasets and data validation frameworks for new application features. Translate business needs into data requirements and testing scenarios, partner with developers/data engineers, execute data validation and reconciliation, document results, support production implementation and cross-trained application support, and identify process improvements.

The Senior Data Analyst will partner with teams to provide data analytics solutions, develop complex data models, and create visualizations to drive decision-making.

The role involves design and development using Markit EDM, analyzing code, preparing design documents, and implementing data integration projects.

Design, develop, and deploy commercial analytics and self-service BI tools using Power BI and Snowflake. Query and model data with SQL, analyze business performance, deliver actionable insights, support change management, and partner with regional teams and leadership to drive commercial outcomes.

Analyze key customer accounts to identify trends and sales opportunities, prepare account reporting and business reviews, evaluate pricing/margin impacts, support quotes and proposals, and manage project tasks and status updates.

Perform actuarial analyses and modeling using large healthcare claims and weekly trend data. Validate and monitor claims, pharmacy, lab, and authorization data; build predictive models, dashboards, and automated reports; translate insights for actuarial, finance, and business partners; investigate new data sources and improve leading-indicator tools to anticipate health cost drivers.