Top Senior Analysis Reporting Jobs in Milwaukee, WI

The Business Systems Analyst will gather requirements, design solutions, test, implement, and improve software applications to enhance business processes. Responsibilities include collaborating with stakeholders, documenting requirements, and ensuring project outcomes meet established criteria.

The Technical Product Analyst will analyze systems, identify solutions, document requirements, collaborate with teams, and support users in improving operational efficiencies.

The Sr. Business Analyst will collaborate with stakeholders to enhance user experiences and business outcomes through strategic analysis and requirements documentation in an agile environment.

Lead the Data Operations team to ensure data quality, integration, and security. Define enterprise data assets and infrastructure, establish API and operational standards, manage ServiceNow-based workflows, oversee incident/change management, and drive automation and continuous improvement for analytics and application data pipelines.

As a Data Engineer, you'll design and manage ETL workflows using Informatica, ensuring high data quality, writing optimized SQL queries, and collaborating with teams for production deployments.

The Manager of SIOP Analytics will lead initiatives to enhance planning metrics by improving forecast accuracy and driving inventory management strategies while collaborating with cross-functional teams.

The Senior Program Data Analyst will support data analysis and reporting in the Quality and Health Outcomes Department, collaborating with various health system users to enhance data sources and business intelligence solutions.

Lead marketing analytics strategy and architecture, develop ML models (media mix, propensity, LTV), design experiments and causal inference, partner with data engineering to build scalable ETL and reporting, automate processes, deliver executive dashboards, and mentor junior analysts.

This role oversees data-related risks ensuring compliance with enterprise standards, evaluates controls, develops risk processes, and leads governance efforts.

The role involves using advanced analytics and data visualization to provide business insights, create dashboards, and support decision-making. Collaboration with stakeholders to ensure alignment with business needs is crucial.

Lead manufacturing analytics and Unified Namespace efforts: harmonize OT and enterprise data, build semantic/analytical models and real-time KPI dashboards, enforce data quality and GxP compliance, enable cross-functional analytics, and deliver tooling and CI/CD practices.