Business Support Data Analyst

Job Description:

Job Title: Business Support Data Analyst
Location: Springfield, Missouri (Remote)
Department: Client Financial Services and Benefit Advocacy Services
Employment Type: Full-time

Job Summary:
Are you passionate about turning data into meaningful insights that drive impact? Join our compassionate, collaborative team where your work directly supports mission-driven outcomes that help others thrive. In this role, you'll enjoy the opportunity to work remotely, influence revenue cycle strategies, collaborate with talented cross-functional teams, and use cutting-edge tools to solve complex problems. We are seeking someone who is detail-oriented, analytically driven, innovative, and committed to delivering high-quality results with a strong customer service mindset.

As a Business Support Data Analyst, you will design and maintain advanced reports that support Revenue Cycle teams in managing accounts receivable (AR). You'll analyze data from multiple sources, identify trends and opportunities, and provide actionable insights to improve operational performance. This role requires strong technical expertise, critical thinking, and the ability to translate complex data into clear, meaningful information that drives decision-making.

This position offers...
• Employee Assistance Program - 24/7 counseling services, legal assistance, & financial consultation for you and your household at no cost
• Mileage Reimbursement - Company paid for work functions requiring travel
• Employee Discounts - Hotels, Theme Parks & Attractions, College Tuition
• Workplace Culture - An environment cultivating employee wellbeing, valuing each individual's humanity, and actively promoting a healthy, joyful workforce
• Additional Perks & Benefits - Scroll down to bottom of this post to learn more

Key Responsibilities:

• Design, develop, and maintain insightful reports that combine EHR and third-party payer data to support Revenue Cycle operations

• Analyze data trends to identify opportunities for improving accounts receivable performance and operational efficiency

• Collaborate with cross-functional teams to integrate analytics into workflows and support strategic decision-making

• Troubleshoot complex data and reporting issues, providing actionable solutions and recommendations

• Utilize SQL and reporting tools to extract, mine, and transform data into meaningful insights

• Develop and maintain audit reports to identify discrepancies and ensure data accuracy

• Track key performance indicators (KPIs) and monitor quality control metrics

• Act as a subject matter expert ("super user") for Revenue Cycle reporting tools, supporting system upgrades and enhancements

• Support Revenue Cycle strategy initiatives by identifying key focus areas and delivering data-driven recommendations

• Organize and simplify complex datasets into clear, user-friendly formats

Education, Experience, and/or Credential

Qualifications:



• Bachelor's degree preferred

• Two (2) years of Revenue Cycle operations experience in finance, decision support, or related financial analysis
OR

• Four (4) years of Revenue Cycle operations experience in a similar organization within finance, decision support, or related financial analysis

• Experience with reporting tools and data analysis systems required

• Experience with SQL, Excel, Tableau, Crystal Reports, or similar analytics platforms

• Certification through AAHAM, AHIMA, and/or HFMA preferred

• Certified Professional Coder (CPC) preferred

Additional Qualifications:

• Strong analytical, organizational, and communication skills

• Ability to collaborate effectively with leaders and cross-functional teams to achieve business objectives

• Current driver's license, acceptable driving record, and current auto insurance

• Successful completion of background check including criminal record, driving record, abuse/neglect, and fingerprint check

Physical Requirements

• Perform sedentary work, exerting up to 10 pounds of force occasionally

• Sit for extended periods with occasional standing or walking

• Use repetitive hand, finger, and arm movements for typing and data entry throughout the workday

Keywords: Revenue Cycle, Data Analyst, SQL, Tableau,…