Responsibilities
Data Analysis and Reporting
Implement A/B testing
Develop and maintain dashboards and visualizations to empower operational and exploratory analysis
Improve the operational efficiency of the business with analysis, reporting, and forecasting
Identify, analyze and interpret trends or patterns in complex data sets using script languages
Implement statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports, and visualization of trends and patterns
Data Mining
Verify data availability, quality, completeness and identify action to take for data management
Collect data from different sources to enable the analysis
Ensure the correctness of metadata, assure the process, logic is updated correctly
Qualifications
Bachelor&039;s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology
Work Experience
1- 2 years of relevant experience focus on data- related tasks
Experience in Spark is a plus
Strong analytical thinking, business sense, and communication skills
Proven problem- solving skills, attention to detail, and exceptional organizational skills
Experience in banking, finance, ecommerce or delivery companies
Understand Agile principles, practices, and Scrum methodologies
Experience in data management, ETL, and analysis functions
Basics knowledge in unsupervised and supervised learning methodologies
Proficiency in SQL, Python, and BI tools
Benefits
Leave Paid: 12 days for annual leave
Having a clear road- map to grow
Working in a team ready to take risks and challenge "best practices"
Full benefit with social insurance. Annual health check and PTI insurance under the company’s policy
Working in a fast- moving team, fully supported by BOM. Changes can be executed in a few weeks
Negotiable salary according to qualification (year- end bonus,.... )
Employee Relationship: company trip, team building,...
* We will contact with suitable CVs within 07 working days from the date of application
*Cách thức ứng tuyển:
Bước 1: Đọc kỹ nội dung và xác nhận “Đồng ý” với Chính sách bảo vệ dữ liệu cá nhân dành cho Ứng viên của VNPAY
Bước 2: Sau khi xác nhận "Đồng ý" với Chính sách bảo vệ dữ liệu cá nhân, điền thông tin và đính kèm CV tại bảng Ứng tuyển bên dưới.
Lưu ý:
Đối với Ứng viên
"Từ chối"
Chính sách bảo vệ dữ liệu cá nhân trên, VNPAY sẽ không có căn cứ để xét duyệt hồ sơ của bạn!
* Chúng tôi sẽ liên hệ qua điện thoại với những CV phù hợp trong vòng 7 ngày làm việc kể từ ngày ứng tuyển.
Thông tin liên hệ: Ms.Linh (P. Nhân sự)
Tel: 024 3776 4668 (bấm 281)
Fanpage: https://www.facebook.com/TuyendungVNPAY
