Returns Analytics Specialist (AI & Data)

McKesson

Irving (TX)

On-site

USD 54,000 - 89,000

Full time

14 days+

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Job summary

McKesson is seeking a Returns Analyst in Irving, TX to support reconciliation and recovery of manufacturer returns credit, ensuring policy compliance. You will analyze returns data, validate credit accuracy, and collaborate with manufacturers and internal stakeholders to resolve discrepancies and maximize financial outcomes.

Success depends on finance expertise, data-driven insights, and leveraging AI with human collaboration to improve processes and drive efficiency.

Qualifications

  • 2+ years of experience with large data sets and financial analysis.
  • Ability to create automated projects with minimal instruction.
  • Strong understanding of financial reconciliation processes.
  • Proficiency in Excel (VLOOKUPs, formulas, pivots) and Power BI.

Responsibilities

  • Reconcile and analyze supplier and customer accounting information.
  • Identify exceptions and resolve discrepancies with stakeholders.
  • Support supplier research to substantiate McKesson’s position.
  • Collaborate across IT, suppliers, and internal teams on disputes.
  • Apply AI-assisted analysis to drive process improvements.
  • Maintain data sources across McKesson returns space.
  • Monitor performance using analytics platforms and report findings.
  • Oversee special projects and drive automation enhancements.
  • Ensure compliance with contractual and manufacturer policies.

Skills

Data analysis
Excel
Power BI
AI collaboration
Attention to detail

Education

Degree or equivalent

Tools

Power BI
SAP
Snowflake
Copilot AI Agents

Job description

McKesson is seeking a Returns Analyst in Irving, TX to support reconciliation and recovery of manufacturer returns credit, ensuring policy compliance. You will analyze returns data, validate credit accuracy, and collaborate with manufacturers and internal stakeholders to resolve discrepancies and maximize financial outcomes.

Success depends on finance expertise, data-driven insights, and leveraging AI with human collaboration to improve processes and drive efficiency.

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