Accounts Receivable (AR) Analyst

Hyve Solutions; Greenville (SC); Hybrid; USD 50,000 - 70,000; Full time

Job summary

A finance solutions company located in Greenville is seeking an Accounts Receivable (AR) Analyst for a hybrid position. The role requires managing customer accounts, ensuring timely cash flow, and supporting the adoption of AI-enabled tools. Candidates should possess a Bachelor's degree in Finance or Accounting and demonstrate strong analytical and communication skills. The job offers a mix of in-office work and remote flexibility on certain days of the week.

Qualifications

• Bachelor's degree in Finance, Accounting, or a related field required.
• Strong analytical, problem-solving, and communication skills are essential.
• Experience in managing multiple accounts in a fast-paced environment.

Responsibilities

• Manage a portfolio of customer accounts and ensure timely reconciliation.
• Drive reduction of past-due receivables while maintaining customer relationships.
• Research and resolve billing discrepancies and invoice disputes.

Skills

Analytical skills

Problem-solving

Communication skills

Knowledge in Accounts Receivable

Adaptability to new technologies

Education

Bachelor’s degree in Finance, Accounting, or related field

Tools

AI-supported tools for finance and AR

Job description

Job Title: Accounts Receivable (AR) Analyst

Department: Finance

Employment Type: Full‑Time / Hybrid – in office in Greenville Tues‑Wed‑Thurs / WFH Mon and Fri.

Reports To: Collections Supervisor

Position Summary

The Accounts Receivable (AR) Analyst role is a replacement position requested to ensure continuity of critical operational and revenue‑impacting responsibilities within the accounts receivable function. This role is essential to maintaining timely cash flow, mitigating financial risk, and supporting ongoing business growth.

In addition to core AR and reconciliation responsibilities, this position will play a key role in supporting future advancements, including the integration and utilization of AI‑driven tools and processes. The ideal candidate will bring a strong foundation in Finance along with curiosity, exposure, or experience related to automation, data, or AI‑enabled solutions.

Key Responsibilities

• Manage a designated portfolio of customer accounts, ensuring timely and effective reconciliation, driving actionable cash flow processes
• Drive reduction of past‑due receivables while maintaining strong customer relationships
• Research, analyze, and resolve billing discrepancies and invoice disputes in a timely manner
• Partner cross‑functionally with Billing, Sales, Operations, and Finance teams (amongst others) to ensure accurate and timely payments received and processed
• Monitor account aging, identify risk trends, and escale issues as appropriate
• Support working capital objectives by contributing to improvements in cash flow and DSO performance
• Maintain accurate documentation and account notes in accordance with internal policies
• Assist with process improvements, reporting enhancements, and operational efficiencies
• Actively grow knowledge and support the adoption of AI‑enabled tools and future‑state finance initiatives
• On occasion review reports to suggest credit limit increase/decrease for certain accounts.
• Participate in testing, feedback, and continuous improvement efforts related to automation and AI advancements

Performance Metrics & Accountability

• Days Sales Outstanding (DSO) targets
• Past‑due and delinquency reduction
• Dispute resolution cycle times
• Accuracy and timeliness of account management
• Responsiveness to internal and external stakeholders
• Contribution to team productivity and operational stability

Qualifications & Experience

Required:

• Bachelor’s degree in Finance, Accounting, or a related field
• Knowledge in Accounts Receivable or a related finance function
• Knowledge of AI‑supported tools for finance and AR
• Strong analytical, problem‑solving, and communication skills
• Ability to manage multiple accounts and priorities in a fast‑paced environment

Preferred:

• Demonstrated interest or experience with AI‑supported tools
• Comfort adapting to new technologies and evolving processes