Indiana University Health is unlike any other healthcare system and we're looking for team members who share the things that matter most to us. People who are inspired by challenging and meaningful work for the good of every patient. People motivated to do their best every day. People who are always ready to apply themselves. As one of Indiana's largest employers, our vision is to lead the transformation of healthcare through quality, innovation and education, and make Indiana one of the nation's healthiest states.

Senior Information Services Business Intelligence Analyst

(This position is hybrid and will require some onsite work in Indianapolis, Indiana)

The senior information services business intelligence analyst will work in collaboration with IS leadership to understand the IT needs of their business partners and develop a plan to demonstrate the value of investing in IT solutions.

RESPONSIBILITIES:

Effectively applies IU Health's Business Intelligence systems to provide timely, accurate, and reliable reporting information useful for decision making purposes. Performs data analysis, data validation, and investigates identified business inefficiencies in order to develop business improvement recommendations.  Identifies new Key Performance Measurements (KPM's) to investigate for potential operational improvement opportunities, requires understanding business operations that are relevant to each KPM and developing appropriate strategies for new KPM's to be appropriately evaluated. Lead the development of program documentation including training and educational material relative to performance and business intelligence.

STRONGLY PREFERRED:

Finance Lean in Healthcare Data Analytics Relationship Management

REQUIREMENTS:

Bachelor's degree required in Mathematics, Finance, Engineering, Economics, Accounting, or related Healthcare Performance/Administration. 5-7 years of experience required. Experience in a healthcare, resource management/reporting, corporate finance or accounting setting strongly preferred. Requires basic knowledge of finance or statistics (ROI, NPV, risk, etc.). Requires proficiency in MS Excel, Access and data analytics tools (Tableau, Predictive Analytics, OpenRefine, etc.).