Senior Data Analyst

• Gather, validate, clean and organize to produce a standard operating data set for analysis.
• Perform revenue forecast for budget preparation and monthly/quarterly P&L re-forecast.
• Prepare weekly and monthly operational and financial performance reports
• Prepare dashboards for weekly and monthly operational and financial performance, tracking key operational and financial metrics by programs, by campuses (compared with target, forecast and historical data) and preditative analysis.
• Work closely with Operation teams to have update on the insights of business trend, change in business rules (if any) 
• Work with data team to build reports, dashboards and forecasting models.

• Strong mathematical skills to collect, measure, organize and analyze data 
• Strong logical and technical skills for data modeling, data mining, and segmentation.
• Solid problem-solving, detail-oriented and able to perform in a high-pressure environment
• Solid knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions 
• Proficiency in SQL, Excel (Advanced Level), Power BI and R/Python/SPSS
• Good at queries, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis

REQUIRED BACKGROUND & ATTITUDE

• Education: Bachelor’s Degree in Computer Science/ Economics/ Statistics/ Finance/ Accounting
• Age: 23-30
• Experience: 3+ years of data analytics or other relevant experiences
• Foreign language: Good at English for both writing and communication
• Computer skills: Professional in SQL, Excel, PBI and R/Python/SPSS