Havi (E)@Tuyển dụng
3 tháng trước
[HCM] Tập Đoàn Công Nghệ Zalo Tuyển Dụng Data Analysis Intern Full-time 2025
GIỚI THIỆU CÔNG TY
Địa điểm: Hồ Chí Minh - 
Loại hình công ty: Công ty Việt Nam - 
Lĩnh vực kinh doanh: IT (Lập trình, Công nghệ thông tin, Internet, …) - 
Quy mô công ty: Lớn (>= 250 người có BHXH) - 
Website: Không có - 
Fanpage: fb.com/zaloappWe build practical tech products to make Vietnamese lives simpler, more convenient and better. Join us and find meaning in your works.
If you are a smart phone user in Vietnam:
+ You might have sent messages via Zalo – a fast, stable, and secured application for Vietnamese people
+ You might have listened to music on Zing MP3 – a huge music store of both Vietnamese and international music with the default 320Kbp high quality standard.
+ You might have read the news on Zing.vn and Báo Mới – Online newspapers with the goal of providing objective, intuitive, and fast information to users.
Besides, Zalo also develops many other utilities and products like Laban Key or virtual voice assistant – Kiki, etc.
At Zalo, we build and develop a workplace where people are ready to embrace challenge.
Do visit Zalo Careers website at https://zalo.careers/ or email [email protected] to learn more about us and be a part of Zalo.
Địa điểm: Hồ Chí Minh - 
Tính chất công việc: Thực tập; Toàn thời gian - 
Chuyên môn: Business/ Data Analyst, Business Intelligence (Phân Tích Kinh Doanh), Product Development (Phát Triển Sản Phẩm) - 
Kinh nghiệm: Không cần kinh nghiệm - Đừng lo! Chúng tôi sẽ đào tạo bạn từ đầu. Có kinh nghiệm là điểm cộng! - 
Mức lương: Thỏa thuận- Learn and use various analytical tools and technologies (e.g., BI tools, SQL, Python, Spark) for data extraction, processing, and analysis;
- Assist in creating reports, charts, and dashboards to communicate insights and findings to the business team;
- Collaborate with Data Scientists on analytics and predictive modeling projects, gaining hands-on experience with real-world data challenges.
- Currently pursuing or recently graduated with a degree in Statistics, Mathematics, Computer Science, or related fields;
- Basic understanding of data analysis concepts, including familiarity with SQL, Python, and data visualization tools;
- Willingness to learn new technologies and analytical methods quickly;
- Strong problem-solving skills, with attention to detail and accuracy.
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