Overview

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. This role reports into the Financial Profitability Analytics team of Enterprise Analytics.

Analyst-Information Services Data Senior

(This position will involve some onsite work in Indianapolis, Indiana)

RESPONSIBILITIES:

• Provides analysis, reporting and data discovery services for end-users under limited supervision.

• Supports financial services via ad-hoc and ongoing analytics requests related to service line and procedural profitability as well as patient volume and statistical analysis

• Incorporates end-user requests and requirements to develop enterprise reporting/dashboarding solutions.

• Collaborates with end-users to generate and prepare solutions to support business and clinical objectives.

• Administers access and maintains data warehouse security to ensure reliability and security of data.

• Trains end-users on reporting tools.

• Solves complex analytical problems.

• Leads projects or project steps within a broader project or has accountability for ongoing activities or objectives.

• Works directly with business area leadership to develop actionable insights that drive performance improvement

• Provides breakthrough thinking on analytical needs and solutions.

• Acts as a resource/mentor for colleagues with less experience.

• Experience with financial statements and/or Oracle preferred.

• Experience with building statistical models a plus.

REQUIREMENTS:

• Bachelor's degree preferred or equivalent experience.

• 5-7 years of experience required.

• Requires knowledge of SQL programming.