- Data Collection: Gather data from various sources, including internal data, external data, and online data.
- Data Processing: Prepare data for analysis using different tools and methods, including data cleaning, statistical analysis, and big data analysis.
- Data Analysis: Identify trends using various data analysis tools and methods, including model analysis, forecasting analysis, and exploratory analysis.
- Data Presentation: Present data clearly and understandably using different presentation tools and methods, including reports, tables, and charts.
2. CANDIDATE REQUIREMENTS
- University degree or higher in fields related to mathematics, statistics, economics, or computer science.
- Knowledge of mathematics and statistics; knowledge of information technology.
- Analytical skills and communication skills.
- Honest, transparent, and responsible.
3. BENEFITS
- Full insurance benefits as per regulations.
- Travel, vacation, and teambuilding activities.
- Salary increase/bonus/recognition programs.
- Clear career path.
- Participation in professional and skill development training programs.
- Dynamic, youthful, and enthusiastic working environment.
- Hybrid Working / Workation policy.
OTHER INFORMATION
- Probation period: 2 months.
- Working hours: 08:00 - 17:00 from Monday to Friday, and Saturday morning from 08:00 - 12:00 (2 Saturdays off per month).
- Leave: 12 days of annual leave + Work From Home.
