Top Senior Analysis Reporting Jobs in Milwaukee, WI

Leads business analysis across multiple initiatives by gathering requirements, mapping processes, translating business needs into technical specifications, and identifying operational improvements. Partners with Finance, Risk, IT, Compliance, and project teams to deliver data-driven solutions. Monitors implementation outcomes, influences stakeholder priorities, supports regulatory alignment, and provides subject matter guidance to less experienced analysts.

Transforms Quality Management System data into actionable insights through analytics, dashboards, KPI reporting, and automation. Develops and maintains Power BI reports covering corrective actions, supplier quality, audits, customer issues, and QMS effectiveness. Integrates and governs quality data across enterprise systems, identifies trends and risks, supports process improvement, and communicates findings to technical and business stakeholders. Mentors team members and travels domestically up to 10%.

The role involves design and development using Markit EDM, analyzing code, preparing design documents, and implementing data integration projects.

Leads the MPL data analytics team, defining strategy, prioritizing analytics intake, overseeing delivery, and ensuring data quality and governance. Hires, coaches, and develops analysts; manages capacity, standards, tooling, and operational initiatives. Partners with IT, data owners, product managers, and executives to deliver reporting, analytical solutions, automation, and insights supporting product P&Ls and business objectives.

Lead global product master data strategy and governance for a $3B portfolio. Design and scale a unified PIM schema, enforce data standards, run quality audits, manage regional data analysts, partner with stakeholders and IT, and oversee vendor/integrator relationships to enable consistent product content across markets and channels.

Define and build the Solution Data Repository as an enterprise data platform: set technical vision, design ontologies and schemas, select tech stack, define APIs and integration patterns, lead implementation, enforce engineering governance, and align cross-functional teams to enable lifecycle continuity and enterprise-scale AI.

Develop and support Informatica ETL solutions (70% development, 30% support). Build error-handling frameworks with Autosys/Control-M/Tidal, configure PowerCenter Grid, work with IDQ, MDM and Informatica Cloud. Perform development, performance tuning, Unix scripting, Teradata/SQL work, and data cleansing, standardization and profiling.

Define and drive enterprise data strategy and architecture to integrate manufacturing systems, ERP, cloud platforms, and analytics. Design scalable ingestion, storage, transformation, and consumption patterns; establish governance, data quality, lineage, and security; enable analytics, ML/AI, and self-service reporting; lead modernization initiatives and mentor technical teams while aligning data solutions with business objectives.

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 design and implementation of SAP MDM repositories and data models; configure MDM clients, import/syndication maps, workflows, web services and CLIX operations; develop and test integrations with upstream/downstream systems; produce technical specifications and unit tests; coordinate with data providers and stakeholders.