Top Hybrid Data & Analytics Jobs in Milwaukee, WI

Leads the acquisition, integration, modeling, and development of data analytics products. Designs data lake and warehouse solutions, builds ETL pipelines, applies engineering and CI/CD practices, supports analytics and machine learning applications, and ensures data quality and regulatory compliance. Collaborates with technical and business stakeholders, contributes to agile delivery, leads code reviews, mentors junior engineers, and develops enterprise data flows that establish a reliable source of truth.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Leads enterprise workforce intelligence, strategic workforce planning, people analytics, executive decision support, and workforce data governance. Builds forecasting and scenario-planning models covering capabilities, costs, capacity, skills, succession, hiring, mobility, automation, and future work. Partners with HR, Finance, Talent Acquisition, HR Technology, and senior business leaders to turn workforce data into measurable decisions. Oversees analytics platforms, metric definitions, data quality, privacy, governance, executive insight products, and development of a workforce analytics team.

Design and scale reliable data platforms, pipelines, Java microservices, APIs, and reporting infrastructure. Build data validation and reconciliation workflows, support distributed systems, improve pipeline performance and resiliency, and partner with engineering, analytics, and business teams. Contribute to cloud-native infrastructure, CI/CD, Docker, Kubernetes, dashboards, and self-service reporting modernization.

Supports healthcare data client implementations through ingestion, validation, configuration, data quality evaluation, dimensional modeling, and code maintenance using SQL and Python. Contributes to testing, release practices, documentation, and client communications while using AI-assisted development tools responsibly. The role is designed for an early-career professional developing healthcare analytics, engineering, and consulting expertise.

Leads geospatial and GIS projects using the Esri platform to create maps, dashboards, spatial analyses, and field data solutions. Manages spatial data quality, project budgets, timelines, client relationships, proposals, and multidisciplinary deliverables. Advises clients on geospatial technologies and serves as a GIS project lead while supporting environmental assessments, infrastructure, permitting, and resource-planning projects.