Top Data & Analytics Jobs in Milwaukee, WI

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Lead architecture and reliability of the data platform, build and harden ingestion (batch and CDC), own BigQuery+dbt transformations, establish testing/observability/governance, mentor engineers, develop Python tooling and APIs, run POCs for lakehouse/open table formats, and define AI-assisted development practices.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Lead BI Developer responsible for designing, developing, and supporting enterprise QlikView solutions. Translate business requirements into scalable data models, load scripts, QVD layers, and high-performance dashboards. Manage deployment via QMC, implement section access, perform code reviews, mentor junior developers, and own Jira stories through the Scrum lifecycle.

The Principal Enterprise Data & Analytics Architect will design and modernize data architecture, guiding integration of cloud and on-premise solutions to enhance enterprise data management and analytics.

Design and deliver marketing analytics solutions: build data pipelines, dashboards, and predictive models; perform attribution, MMM, A/B and incrementality analyses; prepare and integrate structured/unstructured data; communicate insights, train users, and support stakeholder decision-making.

Lead analytics and reporting for People Relations & Enablement by developing strategy, dashboards, and governance. Analyze workforce data to identify trends, risks, and hotspots, provide executive-level insights and recommendations, support automation and real-time reporting, measure impact of interventions, and partner with Technology, Compliance, and Legal to ensure data integrity and confidentiality.