Benefits of this role :
- 13th Months Salary (upon Company Declaration)
- Project Incentive (upon Company Declaration based on project performance)
- Transport, Meal, Birthday Allowances (upon Confirmation)
- Sports Activities (Badminton & Basketball), Company Outing
- Training and certification sponsored by company (Selected employees).
- Rewards and recognition : Long Service Award / Best Performer Award / Role Model Awards etc
- Medical Insurance (upon Confirmation)
- Optical, Dental, Body Check Up Claim (upon Confirmation)
Job Description :
We are seeking a highly motivated, experienced and talented Data Analyst to join our Data and Analytics team. You will play a critical role in understanding the needs of business and translating business problems into data manipulations. If you are passionate about creating values with data, we invite you to apply and be a part of our exciting journey.
Key Responsibilities :
Cross-department collaboration :
Work with different departments to understand business needs and customize data analytics projects based on those needs.Support the data needs of marketing, sales, finance and other teams.Data analysis :
Analyze data using statistical methods and models to extract useful information or insights.Conduct descriptive statistical analysis, exploratory data analysis (EDA), hypothesis testing, etc.Data Visualization :
Use charts, graphs, and dashboards to present data analysis results so that non-technical people can understand the insights behind the data.Create interactive reports and dashboards using tools like Tableau, Power BI, Google Data Studio, and more.Report preparation and presentation :
Write analytical reports and present analytical results to support business decisions.Work with the team and management to interpret the results of data analysis and provide recommendations based on the data.Data collection and processing :
Collect data from multiple sources, including internal databases, public datasets, APIs, and more.Clean and preprocess data for analysis. This includes handling missing values, outliers, and formatting data.Describe a clear requirement for data engineers to build data pipelineQualifications :
Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, or a related discipline). Advanced degree preferred.Proven experience in data analysis, preferably in the gaming industry.Proficiency in data analysis tools such as SQL, Python, or R.Strong data visualization skills using tools like Tableau, Power BI, or similar.Familiarity with statistical analysis and A / B testing methodologies.Excellent communication skills with the ability to present complex data findings to both technical and non-technical stakeholders.Self-motivated, detail-oriented, and able to work independently as well as part of a team.Passion for gaming and a deep understanding of gaming mechanics and player behaviour is a plus.