• Business Practice Data Analyst - Medical Group…

    Queen's Health System (Honolulu, HI)


    RESPONSIBILITIES

    Effective Date: 10/25

    I. JOB SUMMARY:

    • Assists with the development, preparation, and monitoring of the Queen’s University Medical Group’s (QUMG) financial, and revenue cycle analytics and statistical/operating reporting.

    • Supports the QUMG management with modeling and analyzing provider productivity, financial performance, and revenue cycle data to drive operational performance.

    II. TYPICAL PHYSICAL DEMANDS:

    A. ESSENTIAL FUNCTIONS:

    • Seeing. Hearing. Speaking. Finger dexterity.

    B. MANUAL MATERIAL HANDLING:

    • Infrequent: Lift floor to waist between 0-5 lbs. Lift waist to shoulder between 0-5 lbs. Lift waist to overhead between 0-5 lbs. Carry between 0-5 lbs. Push and Pull between 0-5 lbs.

    • Occasional: N/A

    • Frequent: N/A

    • Constant: N/A

    C. NON-MANUAL MATERIAL HANDLING:

    • Infrequent: Walk. Stoop/Bend.

    • Occasional: Reach: shoulder level.

    • Frequent: N/A

    • Constant: N/A

    III. TYPICAL WORKING CONDITIONS:

    • Not substantially subjected to adverse environmental conditions.

    IV. MINIMUM QUALIFICATIONS:

    A. EDUCATION:

    • Bachelor's degree required, preferably in healthcare, data analytics, business or finance.

    B. CERTIFICATION AND LICENSURE:

    • Professional Coder certification from the American Academy of Professional Coders (AAPC) preferred.

    C. EXPERIENCE:

    • Two (2) years of experience in financial or budgeting analysis, data analytics or revenue cycle, preferably in physician revenue cycle or a comparable organization.

    • Experience in healthcare revenue cycle, a medical group, or healthcare, including familiarity with government and third-party payer reimbursement and payer billing rules and guidelines preferred

    • Experience with Epic preferred.

    • Experience to demonstrate:

    o Strong independent critical thinking skills. Ability to gather, analyze data, identify data trends, and organize data in a logical and systematic manner.

    o Ability to present data and technical findings in a logical manner to various audiences including providers and organizational leadership.

    o Strong organizational skills with attention to detail and accuracy.

    o Proficiency with Microsoft Office applications (i.e. Outlook, Word, Excel, and PowerPoint).

    o Knowledge of CPT/HCPCS and ICD-10 codes preferred.

     

    Equal Opportunity Employer/Disability/Vet