Data AnalystPrivate Label Staff • Plano, TX, US
Data Analyst
Private Label Staff • Plano, TX, US
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Advanced Excel skills required (pivot tables, VLOOKUP / XLOOKUP, formulas, data analysis tools) Strong analytical and problem-solving skills Comfortable working with large datasets and identifying patterns Detail-oriented with a quality assurance mindset Strong written and verbal communication skills Self-motivated and able to work independently Internship or coursework in finance, healthcare administration, accounting, or analytics Exposure to medical billing or revenue cycle processes Experience working with claims, payments, or insurance data DME or healthcare-related billing exposure
Job Description
Job Description
Salary :
We are seeking a detail-oriented and analytical Entry-Level Billing & Data Analyst to join our team. This role is ideal for someone early in their career who has strong Advanced Excel skills, enjoys working with data, and thrives on problem-solving.This position supports billing and revenue cycle operations through data analysis, reporting, and trend identification. The ideal candidate is comfortable working with large datasets, building reports, and identifying opportunities to improve processes and collections.
Key Responsibilities
- Analyze billing, claims, and payment data using Excel to identify trends, errors, and irregularities
- Build and maintain reports and dashboards to support revenue recovery and operational decision-making
- Use pivot tables, formulas, and lookup functions (VLOOKUP / XLOOKUP) to manipulate and interpret data
- Research denied or underpaid claims to identify root causes
- Assist in tracking payer trends and identifying recurring billing issues
- Support cross-functional teams (billing, coding, reimbursement) with data insights
- Recommend process improvements based on data findings
- Maintain accuracy and quality standards across reporting and billing workflows
Qualifications
Preferred (Not Required)
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