Ngân Hàng TMCP Việt Nam Thịnh Vượng - VPBANK

Business Intelligence Expert - Ecosystem - Hà Nội - TA139

Ngân Hàng TMCP Việt Nam Thịnh Vượng - VPBANK
Địa điểm

Hà Nội

Maps
  • Lương

    Cạnh tranh

  • Kinh nghiệm

    5 - 7 Năm

  • Cấp bậc

    Nhân viên

  • Hết hạn nộp

    28/10/2025

Phúc lợi

  • Chế độ bảo hiểm
  • Du Lịch
  • Phụ cấp
  • Du lịch nước ngoài
  • Đồng phục
  • Chế độ thưởng
  • Chăm sóc sức khỏe
  • Đào tạo
  • Tăng lương
  • Nghỉ phép năm
  • CLB thể thao

Mô tả Công việc

Our vision is to transform VPB into a data led organization by providing the data platform and data products to provide ability to consistent ly analyze, report and query information to make timely decisions using standardized Enterprise Data & Analytics applications capabilities; enable data and analytics driven culture at VPB through stable and flexible architecture that supports sourcing of structured, semi-structured and unstructured data & tools; meet future regulatory, strategic and operational data management requirements by enhancing the current data management capabilities not just at the enterprise level, but across our ecosystem.

The job holder will be responsible for collecting, inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information (finding meaningful facts and trends relevant to an outcome of interest), informing conclusions (making sense of complex concepts) and supporting decision-making.

Key Accountabilities:

  • Be responsible for data collection, development and implementation analysis to provide insight for to support decision making process of manager VPBank & Ecosystem.
  • Proactive discuss with contact point to order to catch up business problems to provide insight right time.
  • Participate in projects of VPBank, subsidiaries in Ecosystem with the role of data analysis to capture business strategic business issues.
  • Support adhoc dashboard and analysis for top management to evaluate business performance in general and deep dive into details.
  • Propose & implement initiatives to improve analytics activities performance.
  • Mentors, guides, and leads less experienced personnel within the unit to enhance their professional expertise, contributing to increased productivity and work efficiency.
  • Manage a team of data analytics specialists across various phases, based on actual project needs.
  • Performing other tasks as assigned by upper management.

Yêu Cầu Công Việc

Requirements:

  • Bachelor's degree or higher in Economics, Banking, Accounting, Finance, Information Technology/ Computer Science/ Data Science or other related fields.
  • 3–5 years of experience in data analysis or business analysis within the banking, finance, insurance, securities, or ride-hailing sectors
  • Proficiency in data management (SQL Server, Oracle), advanced analytics (Python, R), and BI tools (Superset, Power BI, Quicksight).
  • Basic knowledge of data architecture, data modeling, and common data ETL tools.
  • Having experience with Cloud computing (AWS/Google/Databricks) is an advantage.
  • Ability to understand and propose solutions for applying ML/AI to data analysis problems.
  • Strong presentation and communication skills with the ability to persuasively present analytical findings to influence management or clients
  • Problem-solving skills in a creative way.
  • Ability to work independently as well as teamwork.
  • Ability to analyze, manage time and logical thinking.
  • Positive attitude.
  • Professional, self-confident, proactive and be able to handle stress/conflict.

What we offer:

  • Attractive income, competitive salary and bonus according to ability (16-18 month package)
  • Bonus on Holidays and New Year (according to banking policy from time to time)
  • Get preferential loans according to the bank's policy from time to time
  • Attractive leave mode according to job rank (16 paid leaves/year)
  • Compulsory insurance according to labor law & VPBank care insurance for employees depending on rank and working time
  • Participate in training courses depending on the Training Framework for each position
  • Working time: Monday - Friday & Saturday morning (two Saturday mornings off/month)
  • Dynamic, friendly working environment with many opportunities for training, learning and development; participate in many interesting cultural activities (sports event, talents, teambuilding activities...)

Thông tin khác

  • Độ tuổi: Không giới hạn tuổi
  • Lương: Cạnh tranh
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