Top Senior Level Data & Analytics Jobs in Milwaukee, WI

As a Senior Data Scientist, you will develop and enhance software solutions for short-term rental hosts using machine learning and data analysis to improve decision making, optimize pricing, and enhance guest experiences. You'll collaborate with cross-functional teams to define product requirements and ensure effective delivery of insights-driven tools.

As the Lead Data Analyst, you'll collaborate with various teams to analyze data, uncover trends, automate reporting, and provide actionable insights to drive business growth for small businesses. You'll be responsible for enhancing data collection practices and effectively communicating insights to non-technical stakeholders.

As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.

As a Senior Machine Learning Engineer at Wasabi, you will develop and refine computer vision algorithms and NLP models while leading AI advancements in a team-oriented environment. Responsibilities include collaborating across teams, optimizing machine learning models, and ensuring reliable implementation and maintenance of AI systems.

The Staff Data Engineer will design scalable data pipelines, optimize performance, and manage data governance while collaborating with architecture leadership. They will support BI development using tools like Looker and ensure alignment with business goals by validating requirements with stakeholders.

As the Data Analytics Manager at Thrive Market, you will lead the analytics function to drive measurable business impact through strategic analysis and data-driven decision-making. You'll build and mentor a team, create analytical frameworks, oversee complex analyses, and champion a data-first culture across the organization.

The Senior Manager, Go to Market Analytics will drive data-driven decision-making processes within the organization, focusing on forecasting and measuring revenue performance, optimizing go-to-market strategies, and leading a team of analysts. Responsibilities include operational modeling, performance measurement, and collaborating across departments for efficient reporting and data management.