Top Analysis Reporting Jobs in Madison, WI

Designs and maintains Tableau dashboards, reports, data models, and visual analytics solutions. Partners with stakeholders to define reporting needs, validates data, troubleshoots quality and performance issues, manages Tableau content governance, documents analytics processes, and supports users. Converts complex data into actionable insights for operational and strategic decision-making while improving reporting efficiency and reliability.

Scout collegiate basketball games from the arena using proprietary software to quickly and accurately identify and record game information. The role is primarily part-time, scheduled flexibly around game availability, and includes provided tickets and parking when applicable. Candidates need basketball knowledge, reliable transportation, smartphone proficiency, strong communication, and sustained attention throughout games.

Designs and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, and SQL. Supports SQL Server, SSIS, SSRS, Azure, data warehousing, reporting, analytics, and AI/ML workloads. Responsibilities include optimizing performance and reliability, implementing data quality controls, integrating enterprise data sources, modernizing platforms, and partnering with business and IT teams to deliver scalable data solutions.

Designs, develops, and maintains Databricks-based ETL pipelines, data lake architectures, datasets, and data warehouses supporting reporting, analytics, and AI/ML workloads. Troubleshoots and optimizes Databricks and SSIS processes, maintains SSRS reports, implements data quality controls, migrates legacy systems, and collaborates with business and technical teams. The role also promotes AI-assisted development practices and documents technical procedures.

Lead the design, development, scaling, and operation of enterprise data platforms, services, and pipelines. Own mission-critical systems, deliver complex multi-team projects, build analytics solutions, and improve data delivery processes. Partner with architects, engineers, analysts, data scientists, and business stakeholders to create reliable, observable, secure, and governed platforms. Provide technical leadership, evaluate technologies, establish engineering best practices, mentor engineers, and guide technical decisions across teams.

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.

Analyze complex financial and organizational data using SQL, dbt, and Tableau to create dashboards, models, pipelines, and actionable recommendations. Collaborate with business partners to define analytics needs, validate results, document data assets, maintain reporting tools, provide technical assistance, and present insights to leadership. The role also includes peer review, project coordination, vendor evaluation, and mentoring junior analysts.

Supports data analytics and solution delivery through data profiling, modeling, visualization, testing, integration, and stakeholder collaboration. The intern participates in Agile ceremonies, helps transform business questions into data insights, explores approved AI capabilities, and contributes to projects using SQL, SSIS, Python, Snowflake, Microsoft Fabric, and ETL tools. This hybrid role requires full-time summer and part-time semester availability in a Milwaukee or Madison office.

Analyze consumer sales and order data to identify purchasing trends, product preferences, pricing impacts, and trade-up behavior across products, stores, markets, and time periods. Translate findings into actionable recommendations for product and business decisions while developing skills in data analysis, visualization, problem solving, and stakeholder communication.

Develops and administers complex ETL and ELT data integration solutions using Microsoft Fabric, SQL Server, Lakehouses, Warehouses, pipelines, notebooks, and SSIS. Designs reliable data flows, consumption views, semantic datasets, and enterprise data models; troubleshoots data quality and pipeline issues; supports database administration, backup and recovery, reporting, deployment, and CI/CD. Collaborates with business, analytics, technical, vendor, and reporting teams to deliver secure, scalable, trusted data products.