Lương: 25,000,00035,000,000 VNĐ

Địa điểm: Head Office - Hà Nội

Hạn nộp hồ sơ: 01/07 — 31/10/2022

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Mô tả công việc

What You‘ll Do

As the Data Analyst/ Business Intelligence, you will...

  • Build the deep-dive analysis report on all aspects such as Operations, Finance, CS, Quality control and Customer.
  • Provide Business management report for BOD regularly to identify the next strategy for business growth.
  • Continuously look to improve existing analysis or adding new ones, with an emphasis on practical, achievable solutions and recommendations for the business.
  • Manage the end-to-end delivery of a given analytical project.
  • Do some advanced analysis task, which may require Machine Learning techniques to complete.


Required Qualifications*

Here are the things you already have:

  • Proficient with a variety of statistical analysis methods.
  • Proficient in SQL: Bigquery, PostgreSQL, MySQL.
  • Proficient in NoSQL: MongoDB.
  • Proficient in reporting tool: Google data studio, Metabase..
  • Python is required.
  • Experienced with Linux as a plus point.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • The ability to deliver under deadlines with high quality and no / low errors.

If your experience looks a little different from what we‘ve identified, and you think you can rock the role, we‘d love to learn more about you!


Why Work at VelaCorp?

Salary: 25.000.000 - 35.000.000 VNĐ

  • Excellent compensation - well above the market average.
  • Paid parental leave, vacation & holidays.
  • Extensive opportunities for growth and professional development thanks to our mentoring system.

Our vision is to transform how the world uses information to enrich life. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.


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