Accounts Receivable Analytics Intern

Hangry; Jakarta Pusat; Vor Ort; IDR 55.800.000 - 78.120.000; Vollzeit

Zusammenfassung

Hangry is seeking an entry-level Accounts Receivable assistant in Jakarta to support daily cash reconciliations, AR reporting, and data analysis. You will work closely with cross-functional teams and act as the main PIC for AR data requests.

Ideal candidates are final-year students or graduates in Accounting or Finance, proficient with Excel/Sheets, detail-oriented, and comfortable handling large data sets.

Qualifikationen

• Final-year undergraduate or Bachelor's degree in Accounting, Finance, or related field.
• Fresh graduates or <1 year of relevant experience welcome to apply.
• Proficient in Microsoft Excel/Google Sheets.
• Basic understanding of data analysis and financial data reconciliation.
• Strong analytical and problem-solving skills.
• Detail-oriented and comfortable working with numbers and large data sets.
• Good communication and collaboration skills.
• Previous internship or experience in Accounting/Finance is preferred.

Aufgaben

• Reconcile daily cash receipts against sales invoices and follow up discrepancies.
• Prepare monthly AR reports including revenue, platform fees, discounts, and other receivable transactions.
• Collaborate with cross-functional teams and act as the main PIC for AR data requests.
• Support daily AR administration and data analysis to ensure accurate records.

Kenntnisse

Excel

Data analysis

Attention to detail

Analytical thinking

Communication

Collaboration

Numerical ability

Ausbildung

Bachelor's degree in Accounting/Finance

Tools

Microsoft Excel

Google Sheets

Jobbeschreibung

Hangry is seeking an entry-level Accounts Receivable assistant in Jakarta to support daily cash reconciliations, AR reporting, and data analysis. You will work closely with cross-functional teams and act as the main PIC for AR data requests.

Ideal candidates are final-year students or graduates in Accounting or Finance, proficient with Excel/Sheets, detail-oriented, and comfortable handling large data sets.