Billing Data Analyst - Enterprise Revenue Insights

Quest Diagnostics Incorporated; Jeffersonville (PA); On-site; USD 60,000 - 73,000; Full time

Benefits offered by this job

Medical benefits

401(k) match

Vacation days

Career advancement opportunities

Job summary

Quest Diagnostics Incorporated is seeking a Business Analyst for Billing to support Enterprise accounts. The role involves data analysis, reporting, and process automation to improve cash flow and reduce bad debt. Location is Jeffersonville, PA with opportunities for cross-region collaboration.

The ideal candidate will bring expertise in Excel, Access, and SQL, plus strong data validation and communication skills to present findings to senior management.

Qualifications

• 6+ years of revenue cycle management experience, with some leadership in healthcare.
• 4+ years of business or data analysis experience.
• Advanced Excel and Access skills with programming knowledge using SQL.
• Must reside near a Quest Diagnostics Laboratory site or Norristown, PA.
• Must start workday by 8:00am EST.
• 20% travel requirement as needed and flexible work schedule.

Responsibilities

• Collaborate with cross-region BSS team and analysts on billing initiatives for Enterprise accounts.
• Manipulate, analyze, and interpret large data sets using Access, Excel, and SQL.
• Automate processes and build reports to improve efficiency.
• Identify and address inefficiencies in Enterprise billing processes.
• Pull ad hoc reports from multiple billing systems and validate data quality.
• Forecast financial impacts for Quest partners related to Enterprise accounts.

Skills

Advanced Excel

Access

SQL

Data analysis

Education

Bachelor's Degree in STEM

Tools

Access

SQL

Job description

Quest Diagnostics Incorporated is seeking a Business Analyst for Billing to support Enterprise accounts. The role involves data analysis, reporting, and process automation to improve cash flow and reduce bad debt. Location is Jeffersonville, PA with opportunities for cross-region collaboration.

The ideal candidate will bring expertise in Excel, Access, and SQL, plus strong data validation and communication skills to present findings to senior management.