Overview
Viettel Enterprise Solutions General Company (VTS) is a subsidiary of Viettel Industrial - Telecommunications Group, established with the mission to accompany the Government in successfully building a "Creative Government – Digital Government", cooperating with enterprises and citizens to solve social problems and bring better lives to everyone. Viettel Enterprise Solutions General Company currently has a Research and Development Center that masters new technologies of the 4.0 industrial revolution (Big Data, AI, IoT, AR/VR, Cloud, Blockchain…) and provides solutions for smart cities and digital transformation for enterprises, government, and organizations with directions such as connectivity, sharing and customer experience.
Brief Description
Unlock potential from data using in-depth analytical methods to support decision-making processes in the enterprise's production and business operations.- Data management, including creating, updating, cleaning data
- Ensure data workflow runs correctly and accurately
- Support system error detection and fixing
- Statistical data compilation, building analytical charts and reports
Scope of Responsibilities
Deploy analysis and impact- Standardize data and apply analytical methods to extract information from data according to assignments and guidance
- Synthesize analyses according to established procedures and regulations, ensuring discovered insights are presented systematically
- Prepare plans and deploy impact programs. Evaluate post-deployment and propose improvement solutions for use-cases. - Have experience and understanding of Big Data, BI, Analytics. - Have sharp analytical skills, ability to collect, organize, analyze and disseminate large amounts of information in detail and accurately - Open and dynamic working environment, encouraging idea exchange at all levels, allowing you to work and create in your own way. - Be inspired to work in green offices, open spaces, modern international standard facilities. - Experience real projects in Data Analysis in Banking - Finance, Manufacturing, Telecommunications sectors, etc.
Requirements
- Bachelor's degree or higher in Data Science, Computer Science, Information Technology, Electronics and Telecommunications, Applied Mathematics and Computer Science, Economics or related business analysis specialties...
- Skills in using data analysis tools such as R, Tableau, Python, SAS, Power BI and basic coding to process forecasting models
- Proficiency in SQL, non-SQL query languages and database systems
- Skills in using visualization tools to transform data into graphics
- Ability to read and understand English documents. Priority given to TOEIC, TOEFL or IELTS certificates equivalent to TOEIC score of 550 or above.
- Trained in using mathematics, statistical tools and computer-aided techniques for forecasting, analysis and data visualization purposes. Have basic knowledge of queuing, smoothing, econometrics, cluster analysis and other statistical analysis methods.
- Trained, directly exposed to or have worked with data mining and regular BI operations. Familiar with software tools commonly used as part of advanced analytical techniques such as predictive analysis and data mining.
- Trained, directly exposed to or have worked with data analysis. Responsible for basic information analysis tasks. Knowledge of analytical reporting tools (ACL, SQL, SAS, etc.)
- Trained, directly exposed to or have worked with SQL. Can write simple SQL statements.
- Have basic knowledge of big data processing platforms. Have used the platform or one or more of its components as part of work. Have been trained on the platform and understand basic architecture and concepts.
- Trained, directly exposed to or have worked with data visualization methods.
- Trained, directly exposed to or have worked with Data Storytelling. Convey simple data analysis results sharply and concisely in the form of a story.
