<p>We are looking for a Data Analyst to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. <strong><em>Local candidates to the Greater Milwaukee area are encouraged to apply. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Applicants must have experience building data pipelines. </p><p>• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.</p><p>• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.</p><p>• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.</p><p>• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.</p><p>• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.</p><p>• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.</p><p>• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.</p>
<p>We are looking for a Senior Financial Analyst to join our finance team in Brookfield, Wisconsin. In this role, you will serve as a key partner to business leaders by translating financial data into practical insights that support planning, performance management, and strategic decision-making. You will help strengthen forecasting, reporting, and analytical processes while contributing to a collaborative, improvement-focused environment.</p><p><br></p><p>For immediate consideration call Bill Johannes at 414-662-3416 or connect on Linked-In . All conversations will be confidential. If you or someone you know would qualify for any of the positions listed below feel free to have them call me as well. Thanks for any consideration and I look forward to helping you. God Bless.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain revenue, sales, and backlog forecast models, and support the annual budget planning process with accurate and timely analysis.</p><p>• Create monthly reporting packages, financial narratives, and presentation materials for senior leadership and board-level reviews.</p><p>• Evaluate publication-level profitability, cost behavior, and margin performance to identify trends and recommend actions that improve results.</p><p>• Analyze sales activity, including renewals, cancellations, collections, and publisher performance metrics such as retention and churn.</p><p>• Assess progress against value creation initiatives, measure savings opportunities, and manage financial analysis related to incentive compensation programs.</p><p>• Build and refine automated Excel-based tools, collaborate with data partners to improve reporting workflows, and assist with Sage Intacct reporting and month-end close activities.</p><p>• Partner with cross-functional teams to explain financial results, highlight risks and opportunities, and support informed business decisions.</p>
We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting, automation, and emerging AI use cases. Based in Brookfield, Wisconsin, this position works across technical and business teams to deliver dependable data solutions that improve access, accuracy, and usability. The role is ideal for someone who thrives on translating complex data needs into scalable engineering outcomes and values collaboration, problem-solving, and continuous improvement.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs.<br>• Partner with business stakeholders, analysts, software developers, and leaders to understand data requirements and turn them into reliable engineering solutions.<br>• Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth.<br>• Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility.<br>• Use Python and distributed data technologies such as Apache Spark and Hadoop to process large and complex datasets efficiently.<br>• Support streaming and event-driven data workflows using tools such as Apache Kafka where real-time data delivery is needed.<br>• Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance.<br>• Contribute to ongoing enhancements of the data platform by identifying opportunities to improve scalability, automation, and engineering standards.