Top Analysis Reporting Jobs in Milwaukee, WI

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.

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.

Design, build, and optimize scalable end-to-end data pipelines and Snowflake data warehouses. Develop BI solutions (Power BI/Tableau/Cognos), enforce data quality/governance, integrate investment data vendors, collaborate with stakeholders, mentor junior engineers, and follow SDLC/DevOps best practices.

Develop and deliver Informatica ETL solutions for data warehousing projects: extract from varied sources, design and test mappings, analyze business rules and data issues, produce design artifacts, collaborate across teams, support production, and contribute to estimates and configuration management.

The Sr. Data Engineer will develop applications, support database performance, assist with data analytics, and implement data quality measures.

Build and maintain ETL/ELT pipelines, ingest and transform structured and unstructured data, integrate APIs and external sources, improve data quality and monitoring, support dashboards and ML pipelines, optimize warehouse and cloud performance, and contribute to data governance and documentation.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.