Cash Reconciliation Analyst

JD Sports FashionIndianapolis, IN
Onsite

About The Position

The Cash Reconciliation Analyst is responsible for reconciling daily cash and electronic payment transactions across Workday, banks, payment processors, and Cadency, resolving variances and aging items within SLA requirements. Analyze data quality and reconciliation trends while improving matching rules, supporting month-end close and audits, and partnering with cross-functional teams to strengthen automation and efficiency.

Requirements

  • Bachelor’s degree in Accounting or Finance preferred but not required; 1-3 years of relevant work experience functions, with experience managing high-volume transaction matching and month-end close processes; or an equivalent combination of education and experience.
  • Proven experience monitoring and maintaining accounting or reconciliation teams, with the ability to collaborate effectively across Finance, Treasury, IT, and external partners in a complex, fast-paced environment.
  • Proficiency in all Microsoft Office equivalent programs along with experience with ERP and reconciliation systems, preferably Workday and Cadency, as well as bank and third-party payment processor integrations.

Responsibilities

  • Monitor, validate, and manage data quality across the daily ingestion of Workday Accounting Center/GL data, bank BAI/IFS files, and payment processor settlement files into Cadency.
  • Investigate and resolve unmatched lines and variances within Cadency's daily cash transaction matching and electronic payment transaction matching modules.
  • Perform root-cause analysis on mismatched transactions across all tender types (Cash, Credit Card, PayPal, Venmo, BNPL) within Cadency to identify systemic patterns, recurring file errors, and opportunities for automation.
  • Track and clear aging items in cash clearing accounts (1020/1030/1040), focusing on resolving Deposits-in-Transit (DIT) within target cycle times.
  • Refine and optimize automated matching rules and rule hierarchies within Cadency to maximize auto-match percentages, eliminate redundant manual intervention, and boost daily processing capacity.
  • Maintain adherence to daily operational SLAs by resolving Cadency matching error queues within 2 business days.
  • Partner proactively with store managers, field operations, IT, and banking partners to address physical cash discrepancies at the source, resolve missing store deposits, and enforce upstream data quality standards.
  • Produce weekly and monthly data quality and trend analyses covering processor settlement delays, recurring data feed failures, tender fee discrepancies, and manual intervention rates.
  • Collaborate with upstream (IT, Treasury, Bank/Processor Feeds) and downstream (Accounting, Financial Reporting) business partners to streamline data pipelines, eliminate manual workarounds, and enable end-to-end automation.
  • Provide transaction-level matching data and Cadency audit trails to support internal and external audit requests.
  • Continuously analyze daily reconciliation workflows and system exception queues to identify patterns, recommending system rule adjustments, data validation checks, and process enhancements to optimize overall team efficiency.
  • Perform calculations and analytical reviews for monthly tender fee accruals and e-commerce in-transit items feeding the month-end close.
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