Top Data & Analytics Jobs in Milwaukee, WI

Design, build, and maintain scalable batch and streaming data pipelines, improve data modeling and governance, contribute to enterprise data architecture, and collaborate with cross-functional teams to ensure reliable, high-quality data for analytics and operational use.

Lead and mentor an analytics team to design and implement data-driven solutions, align analytics with strategy, manage Agile workflows, build stakeholder relationships, and monitor KPIs to improve healthcare delivery and outcomes.

Own portfolio monitoring and forecasting across card and loan products. Build executive dashboards and forecasting frameworks, perform RCA and remediation, support loss forecasting and provisioning, and collaborate with Risk, Finance, Capital Management, Engineering, and Accounting to inform strategy and lender negotiations.

We are seeking a Data Engineer to design, build and optimize scalable data pipelines. Strong experience in Databricks, PySpark, and data warehouse concepts is required.

Work directly with customers to design, build, and maintain data integrations and pipelines, troubleshoot ingestion/transformation/delivery issues, optimize large-scale data processing, collaborate with data scientists, and guide technical onboarding and long-term success.

Design and implement scalable data platforms, build ETL/ELT pipelines, integrate multiple data sources, define KPIs, create dashboards and executive reports, ensure data quality/governance, and collaborate with stakeholders to optimize BI capabilities.

Lead ownership and evolution of a Microsoft Fabric-based data platform: design medallion/semantic architectures, build and optimize data pipelines, enable Power BI reporting, support SQL Server performance and API integrations, implement observability with Azure Log Analytics/KQL, and shape the data+AI roadmap.

Build and maintain production-grade data processing systems and foundational infrastructure for enterprise AI. Collaborate with researchers and engineers, deliver end-to-end implementations, transform unstructured data into performant datasets, and use distributed processing frameworks and modern analytics tooling to inform products and strategy.

Lead sales forecasting across retail and e-commerce channels, build and manage short- and long-range forecasts, analyze variance and drivers, own forecast accuracy and KPIs, partner cross-functionally with Sales, Finance, Demand Planning, and Supply Chain, implement and automate forecasting tools and AI-enabled analytics, and deliver reporting and insights to leadership.

Provide ad-hoc data and reporting support to Sales and internal teams using SQL, Databricks/Count, and spreadsheets. Clarify requirements, investigate discrepancies, resolve basic data issues, support routine data operations, and create reusable queries/reports and documentation to enable self-service.