Top Data & Analytics Jobs in Milwaukee, WI

Lead and manage projects building modern data ecosystems and managed data services. Oversee strategic planning, mentor teams, ensure project delivery and quality, design data strategies, and convert analytics into business opportunities.

The Sr. Data Analyst provides data analysis and reporting to improve decision-making and operational health through quantitative insights, collaboration, and analytics best practices.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Design and deploy GenAI-driven marketing analytics: build SQL pipelines, Python automation and FastAPI endpoints, develop attribution, RAG and multi-agent LLM solutions, fine-tune/evaluate models, and operationalize insights via cloud and visualization tools to improve marketing performance.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead statistical programmer responsible for developing SDTM and ADaM datasets, producing TLGs, creating reusable SAS macros, validating outputs, configuring CDA in elluminate, mentoring programmers, and ensuring regulatory and quality compliance for clinical trial reporting.

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

Lead a unified analytics organization for Marketing and Product, define shared metrics and measurement frameworks, deliver executive-ready insights, build forecasting and experimentation programs, partner with engineering and privacy teams, and hire and mentor multi-layer analytics teams to drive product adoption and business outcomes.

Design, develop, and maintain forecasting and optimization models for contact forecasting, headcount planning, staffing and budget. Partner cross-functionally to produce data-driven recommendations, present to leadership, and mentor forecasting analysts.