Payment and Pnl Data Analyst

2 days ago

Hà Nội, Vietnam Công Ty TNHH YIC One Full time

**Mô tả công việc**:
(Mức lương: Thỏa thuận)
**Job Description**:
We are seeking a detail-oriented and analytical Payment and Profit & Loss Analyst to join our Accounting & Finance team. The primary responsibility of this role is to ensure the accuracy of payment transactions and to reconcile projected profit and loss data with actual purchase results.

Key Responsibilities:

- Review and process payment transactions to ensure accuracy and compliance with company policies.
- Conduct regular reconciliation of projected profit and loss data against actual results.
- Analyze discrepancies in financial data and work with relevant departments to resolve issues.
- Prepare detailed reports on payment activities and profit & loss analysis for management review.
- Assist in the development and implementation of financial processes and controls.
- Collaborate with cross-functional teams to improve data accuracy and reporting efficiency.
- Stay updated on industry trends and regulations related to financial transactions.

**Chức vụ**: Nhân viên/Chuyên viên

**Hình thức làm việc**: Toàn thời gian

**Quyền lợi được hưởng**:

- Negotiate salary.
- 12 days annual leave
- Monthly Party, Event, Teambuilding...
- 13th salary
- Timework:

- Hà Nội: 08:30 - 17:30, Mon - Fri, Work full 2 Saturday/month
- Provide work equipment,
- Work Address: Hà Nội: 5 Floor, Vinfast Tower, 8 Phạm Hùng, Mai Dịch, Cầu Giấy, Hà Nội

(Sometime go to Factory according Work Schedule arise)

**Yêu cầu bằng cấp (tối thiểu)**: Trung cấp - Nghề

**Yêu cầu công việc**:
Qualifications:

- Bachelor’s degree in Finance, Accounting, or a related field.
- Proven experience in finance or accounting roles, preferably in payment processing or data analysis.
- Strong analytical skills and attention to detail.
- Proficiency in Microsoft Excel, highly prefer if good at Power BI, Power Query.
- Ability to work independently and collaboratively in a fast-paced environment.

**Yêu cầu giới tính**: Nam/Nữ

**Ngành nghề**: Data Analytics,IT Phần Mềm,Kế Toán Tổng Hợp,Kế Toán/Kiểm Toán,SQL,Tài Chính/Ngân Hàng,Triển Khai Phần Mềm

Trung cấp - Nghề
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