Job Role and Responsibilities: Responsible for collecting processing and analyzing data to extract valuable insights and support decision-making processes.
What you would be doing:
- Conduct statistical analysis to identify trends and patterns in player behavior
- Data Preparation Processing and Exploration with Python and Data Visualization with Tableau
- Collect clean and analyze game data from various sources
- Create reports and dashboards that provide actionable insights for game design and monetization.
- Develop and implement strategies and best practices for business intelligence in the game industry
- Collaborate with game designers developers and product managers to understand data needs for game development and optimization.
Requirements
What you need to be good at to succeed in this role:
- Experience as a Business Intelligence Analyst in the gaming business is a plus
- Strong knowledge of data analysis methodologies and tools with hands-on experience in SQL Python or other relevant programming languages
- Knowledge of data visualization tools like Tableau or Power BI
- Strong analytical and problem-solving skills
- Adept at queries report writing and presenting findings
- Experience in handling large data sets and relational databases
Benefits
Whats on Offer:
- Working hours: Monday - Friday (09:00 am- 5:30 pm)
- Attractive compensation & benefits
- Twice a year salary review based on employees performance
- Quarterly bonuses & Annual MVP Awards
- Compliance fully to Vietnam Labor code
- Continuous development of hard and soft skills through work and professional training
- Fully equipped with equipment for work: computer laptop headphones phone...
- Participate in company activities: Football Play board games Team building...
- Snacks tea coffee all the time & free packing
- Many other benefits and compensation regimes will definitely not let you down
EExperience as a Business Intelligence Analyst in the gaming business is a plus Strong knowledge of data analysis methodologies and tools, with hands-on experience in SQL, Python, or other relevant programming languages Knowledge of data visualization tools like Tableau or Power BI Strong analytical and problem-solving skills Adept at queries, report writing and presenting findings Experience in handling large data sets and relational databases