Top Senior Analysis Reporting Jobs in Milwaukee, WI

Designs, builds, and optimizes cloud data solutions using Microsoft Fabric and Azure. Develops data pipelines, Lakehouse architectures, ELT/ETL processes, data models, semantic models, and Power BI reporting. Partners with stakeholders to define requirements and technical designs, supports platform migrations, and implements data quality, governance, security, and monitoring practices. The role also contributes to AI and machine learning data initiatives and requires strong SQL, Python, PySpark, and modern cloud data engineering expertise.

Leads a data engineering team responsible for designing, developing, testing, deploying, and maintaining scalable data products and platforms. Sets technical direction, manages team performance and development, establishes engineering standards, and oversees data quality, security, governance, and operational excellence. Partners with product owners, enterprise architecture, information security, data governance, and business stakeholders to deliver data solutions. Defines team strategy and roadmap, evaluates emerging technologies, and communicates metrics and progress to senior leadership.

Designs and develops data mastering and integration solutions using Markit EDM and Informatica. Responsibilities include gathering business and technical requirements, analyzing code, creating high- and low-level design documents, estimating schedules and effort, building and unit testing solutions, supporting configuration management, and working in an Agile environment.

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.

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.

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.

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.