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The PDA center of GHTK is looking for candidates for the Senior Data Analyst position to join our forward-thinking analytics team. This role involves leveraging data-driven insights and cutting-edge technologies to optimize workflows and support strategic decision-making. The ideal candidate will have a deep understanding of data analysis, customer behavior, product trends, and emerging technologies, particularly AI, to help design data-driven solutions. - Application AI-Driven Decision Making & Automation; - Researching and Testing Emerging Technology Awareness & Adoption; - Using Data and AI to accelerate growth; - Working with Product, Operations, and Technology teams… OTHER INFORMATION - Time of work: 8:30 am - 6:00 pm. From Monday to Friday and alternate Saturdays. - Address: GHTK Building, 8 Pham Hung Street, Me Tri Ward, Nam Tu Liem District, Ha Noi.
- Minimum 2 years of experience in data analysis especially if you have participated in operations projects, logistics, e-commerce, and digital products; - Experienced application of AI/ML to work; - Advanced analytics tools; - Research & Data-Driven Mindset; - Know how to convey data - through dashboards, through stories, through the way you design better experiences for internal or customers; - Working in companies' Logistics, E-commerce, Fintech, SaaS, or Startup,
- Competitive salary: $400-$1500 (Fresher - Middle), up to $3000/month (Senior) (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.
Having a high-speed AI-automation mindset is a plus.