Top Senior Level Data & Analytics Jobs in Milwaukee, WI

The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.

The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.

The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.

Join Twilio as a Senior Data Analyst in the Enterprise Strategy and Operations team. Partner with cross-functional teams to drive growth initiatives and operational excellence through data-driven projects. Develop data products, automate workflows, and mentor junior analysts. Contribute to Twilio's operational strategy by providing data insights and self-service reporting.

As a Senior Data Engineer, you will develop a cloud-based data transformation solution for the U.S. Army, managing data pipelines and communicating design decisions. This role requires architectural thinking, programming skills, and coordination with multiple teams to ensure the successful delivery of a secure product.

The Principal Data & Software Engineer will architect and design a new data and reporting platform, focusing on data pipeline, ETL processes, data lakes and warehouses, and collaborating with stakeholders for insights and reporting. Responsibilities include creating architectural diagrams, ensuring optimized data models, leading performance improvements, and conducting code reviews in an Agile environment.

The Senior Data Engineer will build data ingestion and processing infrastructure using tools like Spark and AWS. Responsibilities include creating a data resolution framework, developing CI/CD pipelines, solving complex data problems, and collaborating with engineering and product teams on data-related issues.