- Analyze user data, gameplay behavior, revenue metrics, and marketing performance.

- Design and build automated reports and dashboards using tools such as Google Sheets, Looker Studio, Power BI, etc.

- Write and optimize BigQuery queries for data extraction and analysis purposes.

- Process, normalize, and validate data using Python (pandas, numpy, etc.) when necessary.

- Collaborate closely with Product and Marketing teams to define analytical questions and generate valuable insights.

- Propose product improvement initiatives based on data-driven analysis.

- Participate in brainstorming sessions and internal discussions to share ideas and insights.

- 6 months to 1 year of experience, or fresh graduates are welcome.

- Proficiency in Google Sheets (advanced functions, pivot tables, vlookup, filter, etc.).

- Experience querying databases using BigQuery or similar database management systems (basic to intermediate SQL: SELECT, JOIN, GROUP BY, CTE, etc.).

- Ability to use Python for basic data processing tasks (pandas, file I/O, simple APIs).

- Strong data visualization and presentation skills (using Google Sheets, Google Data Studio, Looker Studio, or similar tools).

- Basic understanding of Firebase Analytics and event-based data is a plus.

- Highly responsible, proactive, detail-oriented, and meticulous.

- Good communication skills and willingness to work within a large team.

- Strong critical thinking skills.

** Benefits

- Attractive salary package.

- Salary review twice a year.

- Tet bonus upto 03 month salary + Project bonus + Performance bonus and other bonus on Public Holiday.

- 7,5 working hour per day; 05 days per week.

- 12 Annual leave per year.

- Periodic Health check; Health insurance package.

- 02 company trips per year, team building activities,…