Top Analysis Reporting Jobs in Madison, WI

Designs, builds, and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, and SQL. Supports SQL Server, SSIS, SSRS, and data warehousing environments while improving performance, reliability, data quality, and scalability. Integrates enterprise data sources, enables reporting and AI/ML workloads, and partners with business and IT teams to deliver technical data solutions.

Designs, builds, and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, SQL, and Delta Lake. Supports SQL Server, SSIS, and SSRS environments while improving performance, reliability, data quality, and scalability. Integrates enterprise data sources, applies data warehousing practices, and partners with business users, analysts, and IT teams to deliver reporting, analytics, and AI/ML solutions.

Design and maintain business intelligence applications, resolve technical issues, and aid business decision making using BI tools.

Lead the design and implementation of OBIEE 12c solutions for UW-Madison. Act as an architecture resource, ensuring best practices in business intelligence are followed.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

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 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.

Design and develop data warehouse and BI solutions, perform data modeling, gather and facilitate requirements, assess end-user needs, recommend solutions, manage implementation projects, and produce reporting solutions using tools like Workday, Cognos, and PeopleSoft. Contract role onsite in Madison for 12–18 months.

Design and deliver logical and physical data models using Erwin; contribute to functional requirement gathering and documentation; propose modeling solutions; monitor and control project activities; coordinate with customer and onshore/offshore teams; provide guidance on data modeling and governance. Prefer insurance domain, ACORD knowledge, and BI/DWH implementation experience.