Refund Analytics & Records Specialist

Little CaesarsDetroit, MI

About The Position

Imagine working for a company that measures its success based off the growth of its colleagues, a company that invests in its future by investing in you. Little Caesars is a company where our colleagues make an impact. Your Mission: The Refund Analytics & Records Specialist is a highly accountable individual contributor role responsible for the creation, validation, analysis, and governance of refund and reimbursement data across U.S. and Canadian operations. This role functions as the system of record owner for refund reporting, ensuring financial accuracy, audit readiness, and data integrity across multiple platforms and stakeholders. The position requires exceptional attention to detail, strong analytical judgment, and the ability to independently manage recurring, deadline driven workflows with minimal oversight. Success in this role depends on disciplined recordkeeping, proactive issue identification, and the ability to operate at a consistently high standard in a high-risk, high-volume environment.

Requirements

  • High school education or equivalent
  • Two (2) years’ experience working in a data analyst, auditor, or records management capacity
  • Advanced proficiency in Excel , including data validation, reconciliation, filtering, and analysis
  • Experience in working with Microsoft Suite systems
  • Demonstrated ability to manage multiple recurring deadlines independently in a high-volume environment
  • Consistent delivery of accurate, audit ready data with strong personal accountability for data integrity
  • Strong analytical skills, including reviewing, validating, reconciling, and documenting structured datasets
  • Proactive identification of trends, errors, and systemic issues prior to escalation
  • Exceptional attention to detail with disciplined time management across daily and weekly deliverables
  • Ability to maintain documentation suitable for audit or executive review

Nice To Haves

  • Experience with ServiceNow or similar enterprise ticketing systems
  • Background supporting financial, refund, reimbursement, or compliance related operations

Responsibilities

  • Data Analysis, Audit & Record Ownership Own the end-to-end lifecycle of refund and reimbursement data, serving as the authoritative source for accuracy and completeness
  • Edit, reconcile, and import refund reports across daily, weekly, and weekend reporting cycles
  • Create, maintain, and govern Excel based datasets used for reimbursement tracking, partner reporting, and franchise communications
  • Perform detailed audits of refund data to identify discrepancies, trends, and recurring root cause issues
  • Ensure all reimbursement records meet documentation, justification, and audit readiness standards at all times
  • Financial Reporting & Partner Deliverables Produce and distribute weekly reimbursement reports covering prior reporting periods with zero-defect expectations
  • Validate refund calculations, categorizations, and reimbursement eligibility prior to submission
  • Participate in biweekly partner review meetings to explain data findings, address discrepancies, and support resolution efforts
  • Maintain consistent data standards across all externally shared reports and files
  • Canadian Refund & Franchise Reporting Analyze and complete Canadian refund related tickets in accordance with established financial and operational controls
  • Maintain accurate, UpToDate records of Canadian refund activity within designated tracking systems
  • Prepare and distribute refund documentation to Canadian stores and franchise partners
  • Ensure full refund documentation is complete, accurate, and defensible prior to release
  • Execute controlled customer communications related to promotional codes when required
  • Operational & System Support Serve as a subject matter expert for refund data, documentation standards, and reporting workflows
  • Support agents with ServiceNow, Customer Service, or Qualtrics tickets when data accuracy or process interpretation is required
  • Identify process gaps, inefficiencies, and risk areas through ongoing data review and analysis
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