- Building efficient data systems and reports for clients based on specified requirements.
- Advising/Consulting clients on building new reports and data systems based on business and operational needs.
- Cleaning and analyzing data from different systems to gain insights.
- Presenting data trends to stakeholders and clients.
- Participating in the project from presale round.
- Collaborating with relevant teams in data projects.
JOB DESCRIPTION
REQUIRED SKILLS AND EXPERIENCE
- Experience working with data visualization tools such as PowerBI, Tableau, Google Data Studio.
- Experience working with databases: MySQL, Oracle, ...
- Proficiency in programming languages like Python, Java, ...
- Experience working with ETL (Extract, Transform, Load) tools such as Pentaho, SSIS, Azure, ...
- Experience working in Data Mart and Data Warehouse design.
- Ability to analyze, model, and explain data.
- Fluent English communication skills, experience working with English-speaking clients.
- Approach and solve problems with methods and logical.
- Ability to plan work to meet deadlines.
- Strong communication skills both in tech and nontech topic.
- Good at teamwork skills.
Preferred Qualifications
- Graduate from one of these majors Computer Science, Information Technology, or a related field is a plus.
- Have professional certifications in Data Analysis.
- Have knowledge of the logistics industry.
- Have experience with one or more reporting tools and big data storage platforms.
BENEFITS
Salary: Up to 45.000.000 vnd
- Probation salary is 100% of official salary;
- 13th-month salary and performance review twice a year;
- Bonus for special occasions each year (Labor Day, National Day, Solar New Year, Lunar New Year);
- Enjoy company summer trip and other team building activities held monthly and quarterly;
- IT Certificate allowance as regulated;
- Social, health and unemployment Insurance following Government policy;
- BIC Care Health Insurance;
- Unlimited technologies, have chances to gain knowledge on the latest waves of blockchain, AI, Big Data;
- Professional, creative and dynamic working environment;
- Working days from Monday to Friday, with flexible check-in time.
CONTACT
- Send CV to: tuyendung@gemvietnam.com
- Hotline: +842466666100 (Recruitment Team)
- Facebook GEM Careers: https://www.facebook.com/tuyendungGEM
- Linkedin GEM Careers: https://www.linkedin.com/company/gem-careers-hiring/