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University of Iowa

Lead Vizient Data Analyst/Business Intelligence Architect

University of Iowa, Iowa City, Iowa, United States, 52245

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Lead Vizient Data Analyst/Business Intelligence Architect – University of Iowa The Lead Vizient Data Analyst plays a critical role in transforming complex healthcare data into meaningful insights that drive strategic decision‑making and performance improvement across UI Health Care. This position ensures the accuracy, integrity, and usability of Vizient Clinical Data Base (CDB) data and delivers comprehensive analyses that highlight opportunities and successes.

The role leads the development of data‑driven insights that inform executive leadership, clinical departments, and operational teams. It guides the analytics team in producing high‑impact reports and dashboards and collaborates across departments to translate insights into measurable action. The position is eligible for remote work within Iowa.

Position Responsibilities

Ensure the accuracy, completeness, and timeliness of Vizient data submissions and outputs.

Conduct in‑depth analyses to identify performance trends, benchmark comparisons, and improvement opportunities.

Translate complex data into clear, actionable insights for clinical and operational leaders.

Develop and maintain dashboards, scorecards, and reports that support strategic Vizient initiatives.

Lead and mentor team members in best practices for healthcare analytics and data storytelling.

Collaborate with leadership to prioritize focus areas and track progress on improvement initiatives.

Serve as a subject‑matter expert on Vizient data methodologies and performance metrics.

Education Required

Bachelor’s degree in Computer Science, MIS, or a related discipline—or an equivalent combination of education and relevant experience.

Required Qualifications

Advanced analytical skills for evaluating complex data sets.

5–7 years of reporting experience or strong experience in SQL with the ability to write complex queries and performance‑tune.

Proven track record of researching, organizing, analyzing, and synthesizing data to support effective decision‑making.

Demonstrated ability to collaborate with multidisciplinary teams to define system requirements and understand każdego business reporting outcome.

Excellent organizational and project‑management skills with the ability to multi‑task and work independently or cooperatively.

Excellent verbal and written communication skills and strong customer‑service orientation.

Knowledge of data‑warehouse fundamentals.

Desirable Qualifications

Experience working in a healthcare delivery setting with clinical, operational, or financial reporting experience.

Proficient understanding of healthcare delivery/operational workflows and terminology.

Epic certifications or relevant experience (e.g., Cogito Fundamentals, Cogito Tools Administration, Caboodle Data Model, Clarity Data Model).

Advanced knowledge of analytics and business‑intelligence platforms (Microsoft Power BI, Tableau, Qlik, or similar tools).

Experience working with vendors to define system requirements, integration strategies, and implement interfaces.

Experience working with technical and non‑technical staff to refine and manipulate data.

Experience providing education, support, and training to new staff members and customers.

Additional Information

Pay Grade: 5B –

Pay Structure

Starting Salary Minimum: $82,073.00—commensurate

Location: Remote within Iowa

Percent of Time: 100%

Staff Type: Professional & Scientific

Type of Position: Regular

Benefits: 24 days paid vacation per year, paid sick leave, and comprehensive benefits package available at

https://hr.uiowa.edu/benefits .

Contact Information

Organization: Healthcare

Contact Name: Adam Spieker

Contact Email:

adam-spieker@uiowa.edu Application Notes

Applicants must upload a resume that clearly addresses how they meet the listed required and desired qualifications of this position. A cover letter is desired.

Job postings are active for a minimum of 14 calendar days and may be removed and filled at any time after that period.

Successful candidates will be required to self‑disclose any conviction history and will be subject to a criminal background check and credential/education verification.

This position is not eligible for University sponsorship for employment authorization.

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