Summer Reimbursement Data Intern

Highmark Health

Philadelphia (Philadelphia County)

On-site

USD 25,000 - 30,000

Part time

5 days ago
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Job summary

Highmark Inc. invites undergraduates to join the Summer 2027 Reimbursement Analyst Undergraduate Internship within the Professional Provider Reimbursement Operations (PPRO) team.

The program offers hands-on experience in data operations, reimbursement processes, master data management, analytics, process improvement, and business support functions. You will work with SMEs and data professionals to enhance reimbursement data flow across systems.

Qualifications

  • Enrollment in an accredited college/university at undergraduate level (full- or part-time).
  • Pursuing a degree in Business Administration, Data Analytics, Information Systems, MIS, Healthcare Administration, or related discipline.

Responsibilities

  • Support day-to-day reimbursement operations.
  • Conduct data research and analysis to support reporting and documentation.
  • Map and evaluate business processes and assist with documentation activities.
  • Assist with projects and initiatives and provide recommendations for action.
  • Participate in planning and implementation of unit projects and initiatives.
  • Support technical and process documentation efforts.
  • Perform miscellaneous duties as assigned.

Education

Undergraduate enrollment (Full or part-time) in an accredited college or university
Pursuing degree in Business Administration / Data Analytics / Information Systems / MIS / Healthcare Administration / Computer Information Technology

Job description

Highmark Inc. invites undergraduates to join the Summer 2027 Reimbursement Analyst Undergraduate Internship within the Professional Provider Reimbursement Operations (PPRO) team.

The program offers hands-on experience in data operations, reimbursement processes, master data management, analytics, process improvement, and business support functions. You will work with SMEs and data professionals to enhance reimbursement data flow across systems.

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