Responsibilities
Data Analysis and Reporting
- Identify, analyze and interpret trends or patterns in complex data sets using script languages
- Develop and maintain dashboards and visualizations to empower operational and exploratory analysis
- Improve the operational efficiency of the business with analysis, reporting, and forecasting
- Implement statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports, and visualization of trends and patterns
- Implement A/B testing
Data Mining
- Collect data from different sources to enable the analysis
- Verify data availability, quality, completeness and identify action to take for data management
- Ensure the correctness of metadata, assure the process, logic is updated correctly
Qualifications
Bachelor'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 banking, finance, ecommerce or delivery companies
- Proficiency in SQL, Python, and BI tools
- Experience in data management, ETL, and analysis functions
- Strong analytical thinking, business sense, and communication skills
- Proven problem-solving skills, attention to detail, and exceptional organizational skills
- Basics knowledge in unsupervised and supervised learning methodologies
- Understand Agile principles, practices, and Scrum methodologies
- Experience in Spark is a plus
Benefits
- Working in a fast-moving team, fully supported by BOM. Changes can be executed in a few weeks
- Having a clear road-map to grow
- Working in a team ready to take risks and challenge best practices
- Negotiable salary according to qualification (year-end bonus,.... )
- Full benefit with social insurance. Annual health check and PTI insurance under the company's policy
- Employee Relationship: company trip, team building,...
- Leave Paid: 12 days for annual leave
- We will contact with suitable CVs within 07 working days from the date of application
- Cch thc ng tuyn:
Bc 1: in thng tin v nh km CV ti bng ng tuyn bn di.
Bc 2: c k ni dung v xc nhn
ng vi
Chnh sch bo v d liu c nhn dnh cho ng vin ca VNPAY trn mn hnh ng tuyn
Lu : i vi ng vin T chi Chnh sch bo v d liu c nhn trn, VNPAY s khng c cn c xt duyt h s ca bn
- Chng ti s lin h qua in thoi vi nhng CV ph hp trong vng 7 ngy lm vic k t ngy ng tuyn.
Thng tin lin h: Ms.Linh (P. Nhn s)
- Tel: 024 3776 4668 (bm 281)
- Fanpage: https://www.facebook.com/TuyendungVNPAY
