Accounts Receivable - Senior Analyst

We are looking for an experienced Accounts Receivable (AR) Senior Analyst with a strong background in AR operations, preferably from the FMCG or Retail sector. The ideal candidate will have solid analytical skills, hands-on experience in managing AR reporting, and proficiency in advanced MS Excel for data handling and decision support. Industry: FMCG Job Type: Full Time Work Mode: Onsite Job Location: Shivamogga, Karnataka, India CTC: As per market standards Schedule: Day Shift Key Responsibilities: · Lead and manage the end-to-end Accounts Receivable process, including billing, collections, credit management, and cash applications. · Ensure timely and accurate invoicing, follow-up, and reconciliation of customer accounts. · Monitor aging reports, reduce DSO (Days Sales Outstanding), and escalate overdue receivables appropriately. · Handle customer disputes and coordinate with internal teams for prompt resolution. · Generate and analyse AR reports using Excel (pivot tables, VLOOKUP, macros, etc.). · Provide regular updates and insights to management on receivables status and key metrics. · Maintain and improve AR-related SOPs and internal controls. · Support internal and external audits as required. · Train and mentor junior AR staff if applicable. Required Skills & Qualifications: · 7–10 years of experience in Accounts Receivable. · Industry experience in FMCG or Retail is highly preferred. · Strong knowledge of AR concepts, processes, and best practices. · Advanced MS Excel skills (pivot tables, charts, formulas, conditional formatting, macros). · Excellent analytical, problem-solving, and communication skills. · Experience with ERP systems (SAP, Microsoft Dynamics, Oracle, etc.) is a plus. · Bachelor’s degree in Accounting, Finance, or a related field (MBA or relevant certification is a plus). Preferred Qualifications: · Detail-oriented with a high degree of accuracy. · Proactive and hands-on attitude with the ability to work under pressure. · Ability to handle large volumes of data and present meaningful insights. Show more Show less