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Supply Revenue Analyst

Job in Little Rock, Pulaski County, Arkansas, 72204, USA
Listing for: Robert Half
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below

Supply Revenue Analyst

We are looking for a Supply Revenue Analyst to support the governed creation and maintenance of enterprise item master data. This role reviews request packets, validates supporting documentation, and applies approved Supply Revenue Reference Guide values and crosswalks to healthcare supply items.

Responsibilities include analyzing item attributes (e.g., manufacturer, catalog number, packaging, size, unit of measure), ensuring accurate alignment with established data standards, and updating chargeable/non-chargeable indicators, HCPCS-related fields, and revenue-related attributes when a clear match exists. The analyst documents findings, identifies exceptions, and escalates discrepancies when documentation or alignment is unclear.

Additionally, this role supports data quality monitoring through review of Power BI dashboards, reconciliation reports, and exception reporting to identify inconsistencies across enterprise systems. The position follows defined governance processes and does not interpret billing or reimbursement policies or create business rules.

Key Responsibilities:

  • Review item master request packets for completeness and accuracy.
  • Validate item attributes against approved supporting documentation.
  • Ensure documentation meets established source hierarchy standards.
  • Route or escalate requests with missing, incomplete, or conflicting information.
  • Apply Supply Revenue Reference Guide values and crosswalks to item attributes.
  • Match items based on defined criteria (category, manufacturer, catalog number, etc.).
  • Assign chargeability, HCPCS, and revenue-related attributes only when clearly defined.
  • Follow governed processes without deviation or interpretation.
  • Use Excel (lookups, filters, pivots) and basic SQL to compare datasets.
  • Identify duplicate, missing, or conflicting item matches.
  • Prepare structured outputs for review and escalation.
  • Review Power BI dashboards and standard reports for data discrepancies.
  • Compare item attributes across systems (item master, supply chain, revenue systems).
  • Identify inconsistencies and escalate findings using standard processes.
  • Escalate incomplete, unclear, or unmatched requests.
  • Document findings with supporting evidence.
  • Maintain detailed logs of validations, updates, and escalations.
  • Ensure audit readiness and reproducibility of work.
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