Healthcare Revenue Data Analyst II

Baxter; Mountain Home (AR); On-site; USD 50,000 - 70,000; Full time

Job summary

Baxter Health in Mountain Home, AR is seeking a Non-Clinical Professional to support the revenue cycle from registration to billing. The role is full-time, on-site, 8:00 AM-4:30 PM, Monday to Friday, and reports to the PFS Systems Manager / Revenue Integrity position.

Qualified candidates will have an Associate or Bachelor Degree in Computer Science or related field and 3–5 years of relevant experience. Strong knowledge of insurance, MS Office, Excel, databases and data analytics is expected,

Qualifications

• Associate or bachelor degree in Computer Science or related field preferred.
• Three to five years progressive experience in computer systems maintenance and/or programming.
• In-depth knowledge of insurance.
• Working knowledge of MS Office Suite, databases and data analytics tools, Excel, cyberquery and/or ad-hoc report writing.

Responsibilities

• Support the revenue cycle processes from registration through billing, payment posting, collections and other data flows.
• Coordinate all support for the Hospital Revenue Cycle including software, vendors and payers.
• Assist Information Systems with hardware or software installations as directed by supervisor.
• Provide troubleshooting and training for Revenue Cycle operations as deemed necessary.

Skills

Communication skills

Interpersonal skills

Time management

Problem solving

Education

Associate or Bachelor Degree in Computer Science or related field

Tools

Microsoft Office Suite

Excel

Tableau

Databases

Job description

Baxter Health in Mountain Home, AR is seeking a Non-Clinical Professional to support the revenue cycle from registration to billing. The role is full-time, on-site, 8:00 AM-4:30 PM, Monday to Friday, and reports to the PFS Systems Manager / Revenue Integrity position.

Qualified candidates will have an Associate or Bachelor Degree in Computer Science or related field and 3–5 years of relevant experience. Strong knowledge of insurance, MS Office, Excel, databases and data analytics is expected,