Data & AI Automation Intern (Accounting Division)

Hội Sở Khối Kế Toán Thực tập

Mức lương: 2,000,000 — 2,400,000 VNĐ

Địa điểm: Hội Sở

Phòng ban: Khối Kế Toán

Hạn nộp hồ sơ: 13/11 — 13/12/2026

We are looking for a tech-savvy Intern to support automation and data analysis initiatives. This role focuses on optimizing workflows through automation and AI tools to improve operational efficiency within the Accounting Department by reducing repetitive tasks and supporting data analysis.

GENERAL JOB DESCRIPTION

  • Work with accounting data (Excel files, banking data, internal systems).
  • Support the automation of repetitive tasks.
  • Participate in developing reports and accounting support tools.
  • Support testing and operating automation/AI tools.

OPTIONS

Candidates may choose one of the following three main tasks (expertise in all areas is not required).

(1) Automation (Accounting Process Automation)

  • Automate repetitive tasks, including: Importing data (banking systems, Excel files, etc.), reconciling data, consolidating reports.
  • Process, standardize, and clean Excel data.
  • Build data processing workflows: Consolidate data from multiple sources (banking systems, ERP, internal files).
  • Integrate tools and systems: Email → Excel → accounting software (via n8n or similar tools).
  • Optimize accounting workflows: Reduce manual operations for the accounting team.

(2) AI Agent

  • Support the development of chatbot systems for: Tax policy lookup, Accounting circulars and regulations, Internal policies.
  • Process textual data: Read contracts and invoices, extract information.
  • Work closely with the accounting team: Understand business requirements, translate them into system logic.

(3) Data Analyst

  • Consolidate and clean data.
  • Build reports and dashboards for: Revenue, Expenses, Cash flow.
  • Analyze data and identify trends or fluctuations.

REQUIREMENTS

  • 3rd- or 4th-year students, or fresh graduates majoring in Information Technology, Information Systems, Computer Science, Data Science, AI, FinTech, or related fields.
  • Basic understanding of Python and SQL.
  • Familiarity with data analysis tools such as Power BI, automation tools, or AI tools.
  • Experience working on relevant projects is a plus.

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