Top Senior Level Analytics Jobs in Milwaukee, WI

The Director of Data Engineering will manage and grow a team of data engineers to enhance Valo's data platform, ensuring its robustness and scalability. The role involves collaborating with cross-functional teams to support drug discovery efforts, simplify data access for scientists, and foster best practices within the team.

The Senior HRIS Analyst will develop, maintain, and execute reports and analytics within Workday, focusing on HR metrics, payroll, and other functions. The role requires providing guidance on Workday reporting and supporting end-users while ensuring data accuracy and insights into HR processes.

The Analyst Relations Manager at ABBYY will build and nurture strategic relationships with key analysts to enhance the company's visibility and thought leadership in AI and automation. This includes managing analyst engagements, developing communication strategies, and collaborating with internal teams to promote ABBYY's solutions and market presence.

As a Human Data Manager, you will lead and mentor a team of AI tutors to ensure data integrity, conduct performance analyses, manage projects, analyze data quality, and collaborate with technical teams on innovative solutions in data curation.

The Global Applied Statistics & Analytics Head will lead statistical and analytical initiatives for the Carvykti commercial process and develop a center of excellence in cell therapy. Responsibilities include statistical mentoring, collaboration with global manufacturing sites, developing statistical analyses, and driving GxP Part 11 compliant data systems.

The IT Compliance Analyst will support and enhance compliance programs for SOC2, HIPAA, and HITRUST. Key responsibilities include policy development, managing compliance audits, conducting risk assessments, maintaining documentation, and providing training. The role demands collaboration with security, IT, and legal teams to ensure adherence to regulatory standards.

As a Senior Data Analyst at Typeform, you'll work with stakeholders to define business metrics, analyze data using SQL and Python, and create automated reports. You'll collaborate across teams to drive performance improvements and help design A/B testing to optimize marketing strategies.