Top Analytics Jobs in Milwaukee, WI

As a SOC Analyst, you'll monitor security events, identify incidents, perform investigations, develop response processes, and support the security team. You will also troubleshoot issues and communicate effectively with customers during implementations.

The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.

The Sr. Workforce Management Analyst will manage scheduling, resource allocation, and capacity planning for the Data Services department. This role includes developing forecasting models, reporting to leadership, and optimizing project timelines while coordinating with various teams.

The Senior IT Business Analyst/Product Owner serves as a customer proxy for Agile teams, prioritizing user stories and ensuring business value in product development. Responsibilities include facilitating Scrum ceremonies, managing the team backlog, collaborating with stakeholders, and implementing Agile best practices to drive high-quality solutions.

As a Data Analyst at RunPod, you will analyze user interaction data to optimize product performance and operational efficiency. Your role involves refining user engagement strategies, monitoring KPIs, and collaborating across teams to drive data-informed decisions. You'll prepare reports, develop data collection strategies, and present insights to stakeholders, contributing to ongoing data-driven initiatives.

The Senior Analyst will create high-value analytics for Arcadia customers, leveraging a data-driven approach to deliver insights. Responsibilities include client interaction, producing dashboards, managing projects, and collaborating with various teams to improve healthcare analytics.

As a Senior Data Analyst at Luxury Presence, you will analyze operational, financial, and product data to derive insights, build predictive models, and develop dashboards that drive revenue growth and optimize business operations. You will collaborate with stakeholders to define KPIs and communicate findings effectively through visualizations.