Top Data & Analytics Jobs in Milwaukee, WI

Design, build, and maintain ETL/ELT pipelines and API integrations to ingest, cleanse, transform, and analyze infrastructure and cloud data. Produce analytics, dashboards, and executive reports; automate workflows and support near-real-time processing. Follow SDLC/DevOps practices (Git, CI/CD), ensure data governance, quality, lineage, and support incident, release, and compliance activities.

Design, develop, and maintain conceptual, logical, and physical data models for transactional systems, data warehouses, lakes, and marts. Translate business requirements into data structures, enforce modeling standards, support data governance, optimize performance with DBAs, and document data lineage and metadata.

Lead implementation of end-to-end global data governance for domain areas (Product, Customer, Vendor). Run governance council, map data ownership, apply COBIT, drive change management and adoption, create roadmaps and scorecards, prototype and test solutions, represent data governance with cross-functional partners and AI governance, promote data literacy, and manage Precisely Automate Studio and ArcGIS licensing.

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.

Perform investigations and root-cause analysis on trapped parts to reduce on-hand inventory. Use MyWorkShop (MWS) to examine ECRs/ECOs, identify causes, provide recommendations, and collaborate with product lifecycle, engineering, and sourcing teams to drive remediation.

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.

Develop and maintain ETL pipelines using Informatica for data warehousing. Extract from multiple sources, write SQL, analyze data and business rules, produce high- and low-level design, perform unit testing, support production, collaborate with technical teams, and estimate effort. Agile/global delivery experience preferred.

Design, build, and operate a Snowflake-centered cloud data platform: ingest with Fivetran, transform with dbt, orchestrate with Airflow/Astronomer, ensure observability and data quality, deliver CI/CD workflows, troubleshoot pipelines, guide Cortex Code adoption, and mentor junior engineers while partnering with cross-functional teams.

Analyze producers' books using internal and external data to identify cross-sell leads and trends. Generate Power BI/Excel reports, apply data mining and AI methods to surface opportunities, and collaborate with producers and national/regional teams to drive cross-selling initiatives and recommendations.

Design, build, and maintain data pipelines and analytics-ready datasets using SQL and cloud data platforms. Perform data profiling, validation, and source-to-target mapping. Support BI enablement, document transformations, and collaborate with stakeholders while following data governance and security practices.