[TDC00717] - Data Analyst

JuniorTừ 2 năm kinh nghiệm

Đăng 4 tháng trước

20 - 30tr/tháng

Tổng quan

Nhận việc làm tương tự qua Email

About the Role

Leverage data to optimize player experience and maximize scalable revenue growth across game portfolio.
You will act as the central data intelligence hub for Product, Game Design, LiveOps, and UA, transforming data into decisions that directly impact retention, monetization, and growth.

What You Will Do

1. Modeling & Analysis:

Support the building and improvement of analytical reports and simple forecasting models based on game and business needs.
Track key performance metrics and help identify trends, issues, and opportunities.
Turn data findings into clear recommendations for Product, Monetization, and UA teams.

2. Visualization & Storytelling: Communicate insights in a simple, business-friendly way:

Build dashboards and reports using BI tools such as Looker, Databucket, or similar platforms.
Create charts, KPI summaries, and drill-down views to help teams understand performance.
Present data in a simple and business-friendly way so non-technical stakeholders can easily follow.

3. Collaboration:

Work closely with teams such as Game Design, Product, UA, Monetization, and LiveOps.
Understand business questions and help translate them into data analysis tasks.
Support teams with timely reports and practical insights for decision-making.

How You Work

You are curious and willing to explore data to find useful answers.
You can explain insights clearly and simply.
You have a sense of responsibility and are willing to follow tasks through.
You can work independently when needed and also collaborate well with others.

Why Join Us

Work with real live-game data and solve practical product and revenue problems.
Gain opportunities to learn more about analytics, automation, and data-driven decision-making.
Collaborate directly with Product, Game Design, UA, and Monetization teams to see the impact of your work.
Enjoy a supportive environment with room to grow professionally.

Salary & Benefits

Competitive Salary: Approximately 20–30 million VND (based on experience).
Working Hours: Monday to Friday, 08:30 – 18:00 (1.5-hour lunch break).
Probation: 2 months, with dedicated support and fair evaluation.
Insurance: Full statutory insurance (Social, Health, and Unemployment Insurance) in accordance with Vietnamese labor law, plus annual health check.
Workplace: Modern, fully equipped, and professionally designed office.
Facilities: A clean and cozy pantry/dining area for relaxation and team bonding.

Job Requirement

What We’re Looking For

Basic to good proficiency in Python (or similar language) for data processing, analysis, or simple automation.
Good knowledge of SQL and experience writing queries for analysis.
Familiarity with BI tools such as Looker, Tableau, or Power BI.
Familiarity with analytics/tracking tools such as Firebase, AdMob, MAX, Adjust/Appsflyer is a plus.
Understanding of common product and business metrics such as retention, LTV, ROAS, monetization, and user behavior.
Comfortable working with data to generate insights and support business decisions.
Basic understanding of statistics and experimentation is preferred.

Nice to Have

Experience with BigQuery, GCP, or other cloud data platforms.
Experience with automation using Google Apps Script or similar tools.
Some understanding of data pipelines or ETL/ELT workflows.
Around 1 year of experience in a Data Analyst role is preferred.
Experience in the mobile game or app industry is a strong plus.

More Information

Degree: Bachelor
Age: 24 - 38
Compensation & Benefits: Competitive and negotiable, commensurate with experience and qualifications.
Work with real live-game data and solve practical product and revenue problems.
Gain opportunities to learn more about analytics, automation, and data-driven decision-making.
Collaborate directly with Product, Game Design, UA, and Monetization teams to see the impact of your work.
Enjoy a supportive environment with room to grow professionally.

Kỹ năng

Data Analysis, Python, SQL, Business Intelligence, Looker, Tableau, Power BI, Firebase, AdMob, MAX, Adjust, AppsFlyer, Retention, LTV, ROAS, Monetization, User Behavior Analytics, Statistics, Experimentation, BigQuery, GCP, Google Apps Script, Data Pipelines, ETL, ELT