Top Senior Level Analytics Jobs in Milwaukee, WI

As a Senior Data Analyst at Underdog, you will support multiple teams by developing reporting, analyzing business and customer data to inform strategy, and identifying trends. This role involves building dashboards, conducting root cause analysis for fraud and payment issues, and collaborating with stakeholders to enhance operations and fraud detection.

The job involves analyzing metallic and reinforced concrete structures for SMR-300 plants, utilizing various engineering methods and software. Responsibilities include performing static and dynamic analyses, developing designs based on requirements, preparing design deliverables, and ensuring documentation meets engineering and licensing standards.

The Head of Applied AI will lead the Applied AI Research team in developing innovative AI technologies for the Descript product. Responsibilities include managing research projects, mentoring team members, collaborating on product integration, developing research strategies, and representing the company at events.

The Principal Analytics Engineer at Nike Inc. will design and implement advanced cybersecurity data systems, support big data analytics platforms, evaluate risks, and drive operational best practices. Responsibilities include creating custom dashboards, optimizing queries, and mentoring junior team members in a collaborative environment.

As Privacy, AI and Data Protection Counsel, you will work closely with the Global Privacy Officer to manage privacy, data protection, and AI compliance programs. Responsibilities include providing compliance guidance, reviewing agreements, advising on privacy-related issues, and staying updated on global regulations.

The Practice Manager leads a team in Data Science, AI, and ML, overseeing customer projects, driving successful outcomes, and mentoring team members. Responsibilities include technical leadership, project management, operational support, and fostering team culture while ensuring the overall success of the practice.

The Data Solutions Director at Rackspace will lead the design of AI and Data Engineering solutions, overseeing both solution design and presales efforts for enterprise accounts. Responsibilities include managing product ownership, stakeholder engagement, and collaborating on business proposals. The role requires deep knowledge in AI/ML or Data Engineering, proficiency in cloud-native tools, and strong communication skills.

The Senior Analytics Manager I will lead and manage large-scale analytics projects for diverse clients, providing strategic insights through data analysis and visualization. Key responsibilities include the oversight of data management, report development, and team leadership, ensuring timely delivery of actionable insights and maintaining client relationships.