Top Hybrid Data & Analytics Jobs in Milwaukee, WI

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

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.

Analyzes logistics and fulfillment data to support business decisions and continuous improvement. Develops standardized reporting, dashboards, visualizations, KPI tracking, and scenario analysis across Safety, Quality, Delivery, Cost, and Growth metrics. Uses structured and unstructured data to deliver descriptive, diagnostic, predictive, and prescriptive insights. Trains users on reporting tools, identifies business priorities, and communicates actionable recommendations to leaders. The role is hybrid and requires up to 5% travel.

Lead global strategic intelligence activities, including market and competitive analysis, industry and geographic assessments, market-share reporting, executive presentations, third-party analyst submissions, and annual market updates. Partner with business units, executives, sales, marketing, finance, and external organizations to develop actionable insights. Manage strategic intelligence projects, improve reporting processes, maintain the market intelligence portal, and support AI and data visualization capabilities.

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.