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[HCM] Ngân Hàng Số Timo Digital Bank Tuyển Dụng Data Analyst Full-time 2024

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GIỚI THIỆU CÔNG TY
Địa điểm Địa điểm: Hồ Chí Minh - Loại hình công ty Loại hình công ty: Công ty Việt Nam - Lĩnh vực kinh doanh Lĩnh vực kinh doanh: Marketing, Nghiên Cứu Thị Trường, Sự Kiện, Quảng cáo, Truyền Thông, Thiết Kế Đồ Hoạ - Quy mô công ty Quy mô công ty: Lớn (>= 250 người có BHXH) - website Website: Không có - fanpage Fanpage: Không có

- Our deliverable is a leading software that is changing the way people do banking. You will be proud of your work and you will share with every body that you helped to build Timo.

- You’ll be joining a team of experts who are technically savvy, creative and who share the intention of reinventing banking in Vietnam. You work closely with international architects and front-end consultants, product managers, designers to develop the system. You will learn a lot from them.

Địa điểm Địa điểm: Hồ Chí Minh - Tính chất công việc Tính chất công việc: Toàn thời gian - Chuyên môn Chuyên môn: Business/ Data Analyst, Business Intelligence (Phân Tích Kinh Doanh), Product Development (Phát Triển Sản Phẩm) - Kinh nghiệm Kinh nghiệm: Yêu cầu ứng viên có kinh nghiệm; Không cần kinh nghiệm - Đừng lo! Chúng tôi sẽ đào tạo bạn từ đầu. Có kinh nghiệm là điểm cộng! - Mức lương Mức lương: Thỏa thuận

A day in your life might include:

  • Design, build and deploy elegant BI solutions (e.g. reporting tools) to enable data-informed decisions and meaningful monitoring / analyses of metrics across the organization.
  • Be responsible for the overall usability of Timo business intelligence system across all business domains, departments, clusters.
  • Be responsible for driving data practice adoption across Timo through development of self-service capabilities, user adoption of enterprise business intelligence portal and other form of data services
  • Collaborate with business leaders to evaluate and, where necessary, re-define key metrics for tracking, reporting, and analysis.
  • Develop and execute database queries and conduct analyses
  • Perform in-depth consumer data analysis, and drive actionable insights.
  • Mine and analyze large-scale data sources (both structured and unstructured) to uncover insights, issues and opportunities and recommend solutions.
  • Partner with Data Engineer(s) to identify and fill potential gaps/ issues in current data infrastructure to increase data integrity and reliability across the organization


How to succeed in this Role:

  • Demonstrate Advanced Analytical Skills: Exhibit mastery in handling complex data analyses and deriving actionable insights from large datasets.
  • Possess Strong Technical Proficiency: Have advanced expertise in data analysis tools and programming languages such as SQL, Python as well as in data visualization tools.
  • Excel in Communication: Possess exceptional communication skills to articulate complex data insights to both technical and non-technical stakeholders effectively.
  • Have a Deep Business Acumen: Understand the industry deeply and how data drives business outcomes. Use this knowledge to influence strategy and decision-making.
  • Promote a Culture of Data-Driven Decision Making: Encourage and facilitate the use of data in strategic decision-making processes across the organization.
  • Manage Projects Efficiently: Demonstrate strong project management skills, including the ability to manage multiple projects simultaneously and drive them to completion.
  • Uphold Data Integrity and Governance: Champion data quality, integrity, and governance within the organization.
  • Innovate and Solve Problems Creatively: Utilize innovative and creative thinking to solve complex problems and uncover new opportunities through data.
  • Collaborate Across Functions: Work collaboratively with various departments (IT, Marketing, Sales, etc.) to ensure data needs are met and insights are integrated into all aspects of the business.
  • Focus on Impact: Prioritize tasks and projects based on their potential impact on the organization, focusing on those that offer the most significant value.

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