Top Analysis Reporting Jobs in Milwaukee, WI

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

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.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Leads enterprise business solutions, applications, ERP, data analytics, AI, innovation, asset data, and technology portfolio management. Aligns technology and data strategies with business goals, prioritizes investments, strengthens governance, oversees analytics and decision-support models, and drives digital transformation. Builds high-performing leadership teams and partners with senior stakeholders to deliver measurable business value, operational excellence, and reliable technology capabilities for the electric grid.

Design, build, and maintain scalable data pipelines, ETL/ELT processes, enterprise data platforms, data models, and integrations. Ensure data quality, governance, security, performance, and reliability while supporting analytics, reporting, and business intelligence. Collaborate with stakeholders and technical teams to translate business needs into data solutions, modernize platforms, automate processes, and evaluate emerging technologies.

Develop and maintain pricing models and multi-category pricing strategies; analyze market, competitor, and input cost signals; build dynamic tools and automated processes; use statistical modeling to evaluate scenarios; collaborate cross-functionally; validate data and mentor junior analysts to improve pricing effectiveness and decision-making.

Analyze IT business processes, gather and document requirements, interpret data, identify efficiency improvements, and recommend AI and automation opportunities. Assist with business cases, presentations, workflow documentation, and the design, testing, prototyping, and implementation of AI solutions using Microsoft Copilot Studio. Collaborate with business, technology, leadership, and project teams while gaining experience in process improvement, digital transformation, and emerging technologies.

Year-round Capital Markets Compliance intern who designs, develops, tests, and visualizes regulatory technology data solutions. The role involves partnering with Compliance and business teams, analyzing business data, supporting decision-making, participating in projects, and creating solutions with Python, SQL, and potentially Power BI. The intern works full time during summers and part time during semesters in a hybrid Milwaukee-based schedule.

Analyze supply chain and operations data, build dashboards and decision-support tools, support predictive and prescriptive analytics, gather data requirements, document methodologies, and complete an end-to-end summer project. The intern will work with SQL, Python, Excel, cloud data sources, decision intelligence platforms, and agile sprint practices while collaborating with planners, operators, managers, and business stakeholders.

Lead hands-on Workday reporting and HR analytics: design, build, and maintain reports, dashboards, calculated fields, and data models. Partner with HR, HRIS, IT, finance, and vendors to translate requirements, improve data quality, ensure secure access, and scale self-service analytics and governance across global HR systems.