AdventHealth University

Population Health Performance Analyst

AdventHealth University$60K — $113K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficient in Microsoft Access, Excel, PowerPoint, Word, and SQL.
  • 2+ years experience in analyses within a health plan/payor organization.
  • 4+ years of analytic experience overall.
  • Knowledge of health plan claims data is required.
  • Bachelor's degree in Finance, Economics, Mathematics, Accounting, Statistics, or related field.

Responsibilities

  • Analyze healthcare data to identify cost-saving opportunities.
  • Develop and implement data analytic strategies for the Population Health team.
  • Communicate complex information clearly and succinctly to all staff levels.
  • Manage multiple work streams and client analyses simultaneously.
  • Provide actionable insights into provider ordering and operational effectiveness.

Benefits

  • Excellent healthcare plan options.
  • Opportunities for professional development and continuing education.
  • Collaborative work environment with cross-functional teams.
  • Access to advanced analytical tools and software.
Full Job Description
Schedule:

Full time

Shift:

Day (United States of America)

Address:

2600 LUCIEN WAY

City:

MAITLAND

State:

Florida

Postal Code:

32751

Job Description:

Demonstrates proficiency with Microsoft Access, Excel, PowerPoint, Word, and SQL. Communicates complex information clearly to all levels of staff through effective oral and written communication skills. Maintains confidentiality and objectivity in professional conduct. Manages multiple work streams, clients, and analyses efficiently. Learns quickly and works with minimal supervision. Analyzes healthcare data to identify cost-saving opportunities and improve financial performance. Develops and implements data analytic strategies to support the Population Health team. Provides actionable insights into provider ordering, member adherence, and operational effectiveness. Partners with business and operational owners to execute cost-saving initiatives and return on investment analyses. Engages clients in reviewing financial performance and identifying critical gaps in lowering the cost of care. Utilizes statistical software applications and data systems to enhance program performance. Applies common analytical methods such as profiling customer segments, data modeling, and regression analysis. Other duties as assigned.

Knowledge, Skills, and Abilities:
  • Health Plan claims data knowledge [Required]
  • Health Plan financial analysis [Preferred]

Education:
  • Bachelor's [Required]
  • Master's [Preferred]

Field of Study:
  • in Finance, Economics, Mathematics, Accounting, Statistics or related field
  • in analytical field

Work Experience:
  • 2+ working with analyses within a health plan / payor organization [Required]
  • 4+ analytic experience [Required]
  • Analytics interfaces such as Tableau, Business Objects [Preferred]
  • Analytics with emphasis in healthcare and/or clinical application and health insurance finances [Preferred]
  • Statistical applications like SAS, SPSS or R [Preferred]
  • Technical experience in utilizing analytical software tools and applications [Required]
  • Working with healthcare, insurance or claims data [Preferred]

Additional Information:
  • N/A

Licenses and Certifications:
  • Six Sigma [Preferred]

Physical Requirements: (Please click the link below to view work requirements)
Physical Requirements - https://tinyurl.com/23km2677

Pay Range:

$60,756.80 - $113,006.40

About AdventHealth University

AdventHealth University is a private university in Orlando, Florida. It was founded in 1992 and is affiliated with the Seventh-day Adventist Church. The university offers undergraduate and graduate degree programs in various fields including nursing, radiography, and sonography. AdventHealth University is accredited by the Southern Association of Colleges and Schools Commission on Colleges.
Learn more about AdventHealth University
Size
1,000 employees
Industry

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