Top Analysis Reporting Jobs in Madison, WI

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 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.

Designs, develops, tests, and implements data analyses, reports, and visualizations. Partners with stakeholders to translate business needs into data solutions, builds relational/dimensional data models, identifies data patterns and quality issues, deploys changes via CI/CD, and mentors peers.

Gather reporting requirements from stakeholders, translate them into report specifications, coordinate with BI team to develop and validate reports, ensure data accuracy and compliance, provide stakeholder support and status updates, and identify process improvements for report creation and delivery.

Lead the ITSM Data & Analytics program to develop and govern ServiceNow and Tableau reporting, executive dashboards, and GCP/BigQuery data pipelines. Partner with IT leaders and data engineering to deliver KPIs, SLAs, data models, and insights that improve service quality, operational efficiency, and continual service improvement across Technology Services.

Perform statistical and data analyses supporting reentry research; design studies, manage and validate datasets, create visualizations and reports, communicate findings to stakeholders, collaborate on grants and publications, and maintain data security and documentation.

Perform data collection, analysis, interpretation, and presentation to support operational and strategic decisions. Develop dashboards and visualization tools, document methodologies, monitor KPIs, recommend provider network reimbursement rates and processes, research claim/provider issues, present findings, and ensure timely delivery of analyses.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

The Data Modeler will create and manage data models, focusing on dimensional and operational modeling, and work with various data frameworks and tools. Responsibilities include data profiling, documenting mappings, and collaborating with business and technical teams.