Senior Reporting QA & Data Validation Analyst (RCM)
New
J
JobgetherHealthcare revenue cycle
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 3 years of experience in data analysis, reporting quality assurance, data validation, reconciliation, or a related analytical role.
- Required Skills
- PythonSQLMicrosoft Power BITableauMicrosoft Excel
Requirements
- At least 3 years of experience in data analysis, reporting quality assurance, data validation, reconciliation, or a related analytical role.
- Advanced Microsoft Excel skills, including pivot tables, XLOOKUP, SUMIFS, conditional formulas, and large-dataset comparisons.
- Strong SQL skills for querying, comparing, aggregating, reconciling, and validating data.
- Experience investigating discrepancies across reports, databases, or business systems and identifying underlying causes.
- Ability to interpret complex business rules and translate them into practical data validation scenarios.
- Experience in healthcare revenue cycle management (RCM), medical billing, or healthcare reporting is preferred.
- Familiarity with EHR or practice management platforms such as ModMed, Tebra, Nextech, DrChrono, AdvancedMD, athenahealth, or OpenPM is an advantage.
- Experience with Power BI, Tableau, or similar business intelligence platforms is beneficial.
- Familiarity with Python, Power Query, automated data validation tools, data quality monitoring, or exception reporting is an advantage.
- Experience validating ETL/ELT pipelines, APIs, or database integrations is preferred.
- Knowledge of HIPAA requirements and experience handling sensitive healthcare information are beneficial.
Responsibilities
- Validate reports, dashboards, and datasets before distribution to clients, leadership, and operational stakeholders.
- Reconcile reported figures against EHRs, practice management platforms, billing applications, internal databases, and automated data extracts.
- Check records and aggregates for missing, duplicate, inaccurate, or inconsistent data.
- Verify calculations, business rules, filters, date ranges, and metric definitions across reports.
- Investigate reporting discrepancies and trace issues through extraction, transformation, and reporting processes.
- Conduct regression testing when reporting logic, data pipelines, or source systems are updated.
- Develop repeatable testing procedures, reconciliation templates, and validation checklists.
- Create exception reports, document findings, and recommend corrections and process improvements.
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