Top Senior Analysis Reporting Jobs in Milwaukee, WI

Build and maintain scalable ETL pipelines using Python, Spark, and Airflow; collaborate with AI/ML and Product teams to deliver AI-native data products; identify and resolve ETL bottlenecks; ensure code quality through reviews and tests; own sprint deliverables and contribute to roadmap planning and major epics.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from varied sources. Work with event-driven and batch architectures, implement authentication and integration patterns, ensure observability/monitoring, optimize data flows for cost and performance, and collaborate with product, infrastructure, and engineering teams to onboard and maintain data sources at scale.

Design, build, and maintain scalable data models and pipelines using Python and SQL. Collaborate with product and SMEs to create analytics-ready healthcare datasets, maintain data engineering systems, document solutions, and iterate based on product feedback.

The role involves enhancing the client's BI platform by managing data governance projects, documenting strategies, policies, and standards for effective data management.

The Senior Clinical Research Associate manages site monitoring and relationships for clinical trials, ensuring compliance and patient safety according to GCP and regulations.

The Business Intelligence Senior Consultant develops BI strategies, implements solutions using Ellucian tools, and supports higher education clients with technical and functional consulting.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Senior Statistical Programmer will program and validate datasets for clinical trials, oversee deliverables, manage projects, and ensure compliance with industry standards. Requires strong skills in SAS and R for statistical programming.

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.