Công Ty Cổ Phần Giao Hàng Tiết Kiệm tuyển dụng Data Analyst (Senior/Expert)

– Responsible for analyzing data to get insights into customer behavior, product trends, and overall business performance, power the growth of customer acquisition & retention through data-driven decisions;

– Identify key consumer insights and collaborate with Product teams to design customer experiences or programs;

– Build data visualization reports, providing accurate information to help relevant departments understand business operations and optimize processes;

– Update the latest trends and data modeling, reporting, and analytics methods.

IV. OTHER INFORMATION

– Working hours: 9:00 a.m. – 6:30 p.m. Monday through Friday and alternate Saturdays.

– Address: GHTK Building, Pham Hung, Me Tri Ward, Nam Tu Liem District, Hanoi.

– Competitive salary: Up to $3000/month (Negotiable, and periodically reviewed based on your capacity); Bonus for Lunar New Year, New Year, other holidays, and outstanding achievements;

– Social insurance and health insurance;

– Young and dynamic working environment;

– Work with a highly specialized technology team, and have the opportunity to maximize your abilities;

– Continuously receive training on knowledge and skills related to the Company’s areas of operation;

– Diverse collective and entertainment activities (Football club, games, curling, ...); annual team-building event;

– Full benefits are guaranteed according to current Law and the Company’s regulations;

– Be empowered, self-determined, and have enough space to develop yourself in a typical E-Logistics environment.

– Minimum 5 years of working experience in the field of data analysis, experience working with ERP projects, using AI and Data mining technology;

– Experience working on projects related to e-logistics, e-commerce, and sellers is an advantage;

– Strong proficiency in using data analysis tools and techniques to understand business trends, patterns, and regularities from customer data;

– Ability to work with Big Data, logical thinking, detail orientation, good organizational skills, ability to multitask, withstand high pressure;

– Strong SQL skills;

– Strong knowledge of statistical methods and use of one of the tools Airflow, Git, Jupyter, H2O, or Datahub is a plus;

– Experience working with Jira and Visualize;

– Priority is given to candidates with Master’s degrees in Economics, Statistics, Information technology and systems, Information, or similar disciplines.