[VUS] Senior Data Analyst Executive
About VUS
VUS is an educational institution that has continuously won the HR Asia Award in the categories of “Best Workplace in Asia” and “Company that cares for its employees”. In addition, VUS has also been honored as an Inspiring Brand in Asia in 2022 and 2024.
VUS builds a corporate culture of “Working effectively, living happily” with 4 core values: Steadfast trust, Caring and Sharing, Collaboration, and Desire for Development. Each VUS employee not only has a development path built in accordance with their capacity, enjoys diverse benefits and rewards, but also participates in team building activities, skills training, body - mind - spirit care, etc.
In addition, VUS employees also have the opportunity to join hands in meaningful community projects such as: Raising Children, building schools, giving libraries, donating blood, etc.
Job Description
- 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.
Key Responsibilities
- 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
