Business Intelligence Analyst (full-time)

Company: Sauk Prairie Healthcare

Location: Wisconsin (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-02

About this role

Looking to be part of a team that provides extraordinary healthcare from the heart? You Belong Here.

POSITION SPECIFICS

Title: Business Intelligence Analyst

FTE: 1.0 FTE (40 hours/week)

Schedule: Monday - Friday, flexible hours

Holiday Rotation: None

Weekend Rotation: None

On Call Requirements: None

POSITION SUMMARY

The Business Intelligence Analyst is responsible for the design, development, and delivery of analytics solutions across Sauk Prairie Healthcare leveraging a variety of analytic methods, tools, visualizations, and modeling techniques. This includes consulting with stakeholders to assess analytics needs, facilitating discussions, developing analytic solutions, and driving organizational change.

The Business Intelligence Analyst will assist in the areas of:

  • Clinical workflow and electronic health record reporting and analyses, quality measurement, benchmarking and goal setting, and performance measurement analyses.
  • Financial modeling, analysis, business planning and development, and revenue cycle performance measurement.
  • Healthcare outcomes data analysis and improvement.
  • Supply chain analysis and improvement.

POSITION TECHNICAL RESPONSIBILITIES

  • Deliver analytic solutions and ensure successful delivery to support strategic planning and initiatives. Improve organizational performance, and advance progress towards Sauk Prairie Healthcare’s goals.
  • Independently (with minimal oversight) develop and maintain trusted advisor relationships with business, clinical, and operations leaders. Provide guidance for optimizing use of analytic capabilities and deliverables.
  • Demonstrate knowledge of and skill with a variety of query tools (e.g. SQL, R, Python); analytic techniques; tools; platforms to analyze data from multiple sources to design, create, and maintain dashboards; business plans; forecasts; projections; presentations; models; algorithms; and statistical and financial analyses.
  • Use knowledge of h...

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