Top Data & Analytics Jobs in Milwaukee, WI

Leads business and agile analysis for complex product and technology initiatives. Elicits and documents requirements, user stories, acceptance criteria, data mappings, and process improvements; supports backlog prioritization, product roadmaps, sprint planning, UAT, release decisions, defect resolution, and change management. Collaborates with business, product, design, IT, QA, and technical teams while promoting business analysis standards and managing project workstreams.

Supports product management analytics by improving reports and dashboards, consolidating datasets, documenting processes, training users, maintaining data quality, and enabling data-driven decisions. Partners with stakeholders on reporting needs, workflow optimization, project execution, and continuous process improvements. The role is onsite/hybrid in New Berlin, Wisconsin.

Analyzes international trade data to provide actionable insights, support modernization and process improvement projects, resolve system issues, assist with testing, create training resources, and translate trade regulations and business requirements into Global Trade Management workflows and documentation.

Supports the Irix technology platform as a technical subject matter expert, implementing and testing client rule configurations, performing regression and impact testing, conducting simulation studies, preparing reports, managing documentation, and deploying cloud and on-premises systems. The role also involves client communication, peer review, user acceptance testing, and analysis of sensitive healthcare data.

Leads end-to-end data and analytics architecture engagements, specializing in Microsoft Fabric platform design, implementation, modernization, migration, governance, integration, semantic models, reporting, performance, and cost optimization. Partners with clients and internal teams to translate business needs into scalable solutions, guides technical delivery, supports pre-sales pursuits, and mentors data professionals. The role is remote but requires travel four to six times annually and residence in an approved state.

Build data models, dashboards, reports, and visualizations using SQL, Power BI, Python, DAX, and Power Query. Analyze, clean, validate, and model data; troubleshoot systems; define alerts; identify process bottlenecks and automation opportunities; and improve data collection and reporting. Collaborate with business stakeholders, document projects, maintain data integrity, communicate insights, and train nontechnical teams on data usage.

Leads fraud analytics and fraud-vendor solution implementation across the enterprise. Identifies emerging fraud patterns, develops detection models, metrics, rules, scenarios, and controls, and applies statistical and data-mining techniques to mitigate risk. Partners with Fraud, Product, Technology, and business leaders, supports strategic initiatives, presents actionable insights, manages implementation, and serves as a subject matter expert in fraud data, modeling, governance, and criminal risk mitigation.

Senior Business Intelligence Engineer responsible for designing Account 360 Medallion Architecture, integrating enterprise and telemetry data, building predictive models and enrichment pipelines, and delivering actionable insights. The role uses Python, R, SQL, machine learning, NLP, and process mining to analyze device usage, customer workflows, and product friction. Responsibilities include rapid data-product deployment, stakeholder collaboration, sprint-based workload management, cross-training, technical debt reduction, and up to 15% travel.

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.

Leads CASL’s data analytics and business intelligence functions by integrating data across systems, developing SQL-based databases, reports, dashboards, and automated pipelines, and delivering actionable insights for institutional decision-making. Oversees SQL Server administration, data security, quality, integrity, and performance. Provides documentation and training while managing reporting projects, supporting leadership, and ensuring responsible handling of sensitive information.