Hybrid Data Analyst — Eligibility & SQL Insights

Quadax; Middleburg Heights, Northern (OH, KY); Hybrid; USD 60,000 - 70,000; Full time

Job summary

Quadax, a respected leader in healthcare revenue cycle technology, is seeking a permanent, full-time Data Analyst to join our eligibility analysis team in Middleburg Heights, OH. You will design, develop, and maintain SQL queries, stored procedures, and reports to support eligibility decisions.

Hybrid schedule with 2 onsite days per week; remote work is not available. The ideal candidate will have strong SQL skills, experience with Python or R, and a solid understanding of healthcare

Qualifications

• Proficiency writing queries for Microsoft SQL Server.
• Experience with Python or R programming languages.
• Knowledge of ANSI 270/271 is a plus.
• Healthcare reimbursement knowledge is a plus.
• Detail oriented with strong analytical and problem-solving skills.
• Strong written and verbal communication and interpersonal skills.
• Ability to maintain confidentiality.

Responsibilities

• Design, develop, and maintain SQL queries, stored procedures, and reports.
• Do research and establish/maintain eligibility connections.
• Analyze large datasets to identify trends, patterns, and opportunities for improvement
• Collaborate with other analysts to develop and document best practices, standards, and tool usage
• Other duties as assigned

Skills

SQL

Python

R

HIPAA knowledge

Healthcare billing knowledge

Analytical thinking

Communication skills

Confidentiality

Education

Bachelor's or higher in Computer Science

Bachelor's or higher in MIS

Job description

Quadax, a respected leader in healthcare revenue cycle technology, is seeking a permanent, full-time Data Analyst to join our eligibility analysis team in Middleburg Heights, OH. You will design, develop, and maintain SQL queries, stored procedures, and reports to support eligibility decisions.

Hybrid schedule with 2 onsite days per week; remote work is not available. The ideal candidate will have strong SQL skills, experience with Python or R, and a solid understanding of healthcare