Top Senior Level Data & Analytics Jobs in Milwaukee, WI

The Product Analyst will analyze large-scale data to improve business performance, focusing on user engagement and conversion rates. Responsibilities include testing strategy implementation, defining KPIs, and creating visual dashboards. The analyst will collaborate with marketing and product teams to ensure data integrity and capture requirements.

The Oracle Cloud Financials Analyst is responsible for working with clients to understand their financial management needs, designing solutions using Oracle Fusion Financials, configuring applications, conducting testing, overseeing data migration, and training users on new systems. Post-implementation support is also a key responsibility.

The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.

As a Senior Data Scientist at Mercury, you will derive insights from data, collaborate with Revenue, Marketing, and Growth teams, and develop data-driven experiments to improve user experience. You will build data pipelines, conduct analyses, and leverage advanced analytics techniques to inform decision-making and support the sales process through data-driven recommendations.

As a Senior Data Scientist/DBA at SELF ID, you will manage data infrastructure, ensure data integrity and security, and analyze complex datasets to derive insights. You'll collaborate with various teams to drive data-driven decisions and develop innovative solutions, working remotely on cutting-edge technologies.

Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.

The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.