• 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 predictive 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.

• Education: Bachelor’s Degree in Computer Science/ Economics/ Statistics/ Finance/ Accounting

• Experience: 3+ years of data analytics or other relevant experiences

• Computer skills: Professional in SQL, Excel, PBI and R/Python/SPSS

• 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

• Good at queries, writing reports, and making presentations

• Team-working skills

• Verbal and Written communication skills

• Proven working experience in data analysis