Top Senior Analysis Reporting Jobs in Milwaukee, WI

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

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.

Analyze data to diagnose business challenges and perform root-cause analysis; synthesize findings into concise written recommendations for executives; design analyses with cross-functional teams (Operations, Sales, Marketing, Finance, Supply Chain); and contribute to strategic, high-visibility initiatives that improve customer experience and operational efficiency. On-site role; no software development responsibilities.

Lead strategy, development, and operations of the enterprise data platform. Drive DataOps and MLOps adoption, automation with IaC, oversee cloud data operations, mentor engineers, ensure security and governance, and optimize data integration, ETL/ELT, and platform performance.

Lead BI Developer responsible for designing, developing, and supporting enterprise QlikView solutions. Translate business requirements into scalable data models, load scripts, QVD layers, and high-performance dashboards. Manage deployment via QMC, implement section access, perform code reviews, mentor junior developers, and own Jira stories through the Scrum lifecycle.

The Senior Business Analyst - HR Technology collaborates with HR and IT to optimize Workday and other HR systems, managing projects and enhancing user experiences.

Design, build, and validate SAP MDM repositories and logical data models. Configure MDM clients (console, data manager, import/syndication managers), create import/syndication maps, workflows, matching rules, and DB views; perform CLIX and server-level operations, INI configuration, and interface testing. Liaise with data providers, subscribers, and downstream systems and lead the team.

Lead and deliver enterprise data quality initiatives using Informatica IDQ or IBM QualityStage. Design and build DQ rules, perform root-cause analysis, propose and implement DQ improvements, author SQL against Sybase, align requirements with stakeholders, and apply domain knowledge in life insurance.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.