Data Analyst - Workforce Analytics

at  UW Health

Work Schedule :
This is a full time, 1.0 FTE position. Shifts will be scheduled Monday-Friday between the hours of 8:00 AM – 5:00 PM. Hours may vary based on the operational needs of the department.

BE PART OF SOMETHING REMARKABLE

Join the #1 hospital in Wisconsin!

We are seeking a Data Analyst – Workforce Analytics to join our new and growing team to:

• Analyze workforce trends and patterns related to hiring, retention, performance, and other key metrics; deliver analytics solutions, tools, and presentations to stakeholders based on analysis.
• Support workforce planning through analysis of a variety of internal and external sources, analytic methods, visualizations, modeling techniques and benchmarks.
• Consult with stakeholders to and support HR and organizational decision-making processes through data-driven insights.

At UW Health, you will have :

• An excellent benefits package, including health and dental insurance, paid time off and retirement plans.
• Options for a variety of schedules and shifts that offer flexibility and allow for work-life balance.
• Access to UW Health’s Wellness Options at Work that support employee/family well-being.
• Tuition benefits eligibility - UW Health invests in your professional growth by helping pay for coursework associated with career advancement.

Education :
Minimum –Bachelor’s degree in business administration, finance, information systems, or another relevant field. Four years of relevant experience may be considered in lieu of a degree in addition to the experience listed below.
Preferred – Master’s degree in Business Administration, Healthcare Administration, Informatics, or other relevant field.
Work Experience :
Minimum – Three (3) years of experience in healthcare, accounting, business administration,
finance, analytics, project leadership or related experience

Preferred –

• Prior experience in healthcare analysis
• Prior experience in analysis, strategic planning, and decision support
• Prior experience in an academic healthcare environment.
• Prior experience in writing SQL or similar languages

Please refer the Job description for details