Top Analysis Reporting Jobs in Milwaukee, WI

The IBM TM1 Developer will manage the SDLC for Finance applications, focusing on TM1 and migrating from Essbase, while collaborating with global teams.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

The Senior Korean Linguist manages translation and copy-editing tasks, coordinates with freelancers, and ensures high-quality Korean-language deliverables while improving workflows and supporting quality efforts.

Consult with clients to translate business needs into technical specifications, drive adoption of the Liquid Data platform, build reports and dashboards, support implementation and integrations (APIs, Snowflake/Azure), and manage client deliverables while identifying opportunities for technology and AI-driven improvements.

As a Quantitative Strategist, you'll design pricing tools for investment professionals, develop analytics frameworks, and create scalable data pipelines while collaborating with investors to analyze macro financial products.

The Staff Analytics Engineer will establish a data foundation aiding various teams at Kit by refining reporting models, ensuring consistent metric definitions, and enhancing stakeholder self-service capabilities.

The IT Business Intelligence Analyst analyzes data, creates reports, trains users, and maintains BI tools. Requires expertise in SQL and BI.

Provide advisory, oversight, and validation of Data and AI governance, risk, and control activities. Support risk assessments (PSPRA, RCRA), maintain process risk/control libraries, advise on KRIs, and collaborate with 1LOD/2LOD stakeholders to strengthen governance and compliance.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

Hands-on technical lead designing and delivering secure, scalable Azure analytics solutions. Lead solution architecture, guide implementation, mentor engineers, advise on Power BI architecture and governance, and support delivery, consulting, and reuseable asset creation.