JOB DESCRIPTION
– 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.
REQUIREMENTS
– Experience working with Jira and Visualize;
– Experience working on projects related to e- logistics, e- commerce, and sellers is an advantage;
– Minimum 5 years of working experience in the field of data analysis, experience working with ERP projects, using AI and Data mining technology;
– Priority is given to candidates with Master’s degrees in Economics, Statistics, Information technology and systems, Information, or similar disciplines.
– Strong knowledge of statistical methods and use of one of the tools Airflow, Git, Jupyter, H2O, or Datahub is a plus;
– Ability to work with Big Data, logical thinking, detail orientation, good organizational skills, ability to multitask, withstand high pressure;
– Strong proficiency in using data analysis tools and techniques to understand business trends, patterns, and regularities from customer data;
– Strong SQL skills;
BENEFIT
– Be empowered, self- determined, and have enough space to develop yourself in a typical E- Logistics environment.
– 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;
– 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;
– Work with a highly specialized technology team, and have the opportunity to maximize your abilities;
– Young and dynamic working environment;
– Continuously receive training on knowledge and skills related to the Company’s areas of operation;
ADDRESS
GHTK Building, Pham Hung, Me Tri Ward, Nam Tu Liem District, Hanoi.
WORKING HOURS
– Working hours: 9:00 a.m. – 6:30 p.m. Monday through Friday and alternate Saturdays.
