Data Analyst Công Ty Cổ Phần Công Nghệ KIOTVIET

About KiotViet:
KiotViet wishes to transfer a massive power of technology to every business model in Vietnam and Southeast Asia through our simple and effective solutions. KiotViet is committed itself to creating efficient, convenient products for micro, small and medium-size businesses. In over 13 years, with more than 1500 people who form KiotViet in present, we understand that our members of all time are the foundation of KiotViet nowadays and a launchpad for reaching a better KiotViet in the future. KiotViet is committed to creating a work environment that shares success, shares responsibilities.
We are looking for some developers to join our product team. Joining us, you will have a chance to build the first marketplace in Vietnam with so much technology challenge. As a developer, you will be involved in building products to enable an excellent experience.

What you will do:
Working with other departments to get business requirements;
Take care BI project related to KV Products;
Reporting and Data Visualization with Power BI;
Carrying out tasks from various Data Analytics types to create a full picture of story data tells and make informed decisions.

Top salary range in the market (willing to negotiate)
Compensation, a 13th month salary depending on employee’s performance
Performance bonus (up to 2-month salary)
Social – Health –Insurance paid fully. Healthcare: Annual health check-up, Premium Health Insurance ( from level senior according to the company's regulations)
Advantageous and yield benefits, other benefits such as holiday vacations, benefits for employee’s relatives
Unlimited chance of being promoted based on employee’s performance

Key Skill:
2+ years of relevant experience focus on data-related tasks;
Ability to work with business & technical stakeholders;
Analytical thinking, business sense, and communication skills;
Analytics experience:
SQL and Data Visualization (PowerBI, Tableau, etc);
Fundamental mathematical knowledge (statistics, probabilities);
Basic knowledge in object-oriented programming (Python/R/C++);
Database and Data Warehouse, Statistics and Probability;

Domain product analytics.