Top Data & Analytics Jobs in Milwaukee, WI

Lead the design and implementation of data architecture strategies, collaborate with stakeholders, drive innovation in data solutions, and ensure compliance with data governance policies.

Lead a team of data engineers and scientists to develop data models and analytics frameworks, ensuring data integration and compliance for financial operations while mentoring team members.

As a Payments Risk Analyst, you'll identify and mitigate payment fraud, develop risk metrics, and collaborate with cross-functional teams to enhance fraud detection strategies.

Lead the Analytics Engineering team at Coinbase, focused on building data models, ensuring data quality, and delivering actionable insights through collaboration with cross-functional departments, with an emphasis on AI and LLM applications.

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

The role involves leading a team of analysts, driving business growth, analyzing product strategies, and presenting insights to executives.

As a Senior Analyst, you will analyze credit performance, develop forecasting models, and collaborate with cross-functional teams to inform lending strategies.

Lead the design and development of scalable ML systems to enhance customer experience. Own the machine learning lifecycle, collaborate across teams, and mentor other data scientists.

Analyze healthcare data to improve clinical programs and outcomes by identifying opportunities, developing insights, and collaborating with stakeholders.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

As a Senior Data Analyst, you'll collaborate with teams to define product metrics, leverage AI for analytics, create dashboards, and identify AI use cases to enhance decision-making.

The Senior Analyst, Portfolio Strategy will drive growth by providing insights, managing portfolio risk, and analyzing pricing strategies. Collaboration with senior management to assess impacts and monitor data models is crucial.