Business Analyst Intern (Regional Payments)
3 нед. назад
SingaporeWorldwideTraineeOnsite
data analysis
Internship role for Business Analyst focusing on Regional Payments, providing strategic insights and data analysis.
О компании
- Our Journey The Group is Asia-Pacific’s leading shopping, rewards, and payments platform, serving over 20 million active members across 13 markets. In 2025, the Group continued its global growth with its expansion into North America. Driven by the vision to make every day more rewarding, is dedicated to saving members money and time, and delivering delight every day. The platform also enables merchants and brands to engage with their members in a cost-effective manner. Founded in 2014, now powers over US$5.5 billion in annual sales for over 20,000 online and in-store partners, and has rewarded shoppers with more than US$900 million (over S$1 billion) in Cashback to date. Through its innovative offerings, continues to create value for both members and mer
Другое
- Build a strong understanding of our data ecosystem consisting of multiple data sources across different product lines.
- Assist in designing and implementing data models and reporting solutions (reports, dashboards) to measure and monitor defined metrics for the business.
- Work closely with teams in various functions to understand business challenges and provide solutions end-end from requirements gathering to solutions delivery.
- Support management with ad-hoc data requests, analytical deep-dives or other projects as required.
- Able to commit on a full-time basis, 6 months preferred
- Strong ability to write clean, structured, and high performance SQL code is a must
- Experience with Data Visualisation and BI tools is a plus
- Good foundation in Python is a plus but not required
- Strong communication skills with a good command of English
- Strong business acumen and ability to grasp requirements from stakeholders
- Keen interest and knowledge of Fintech / E-commerce is a plus
- Self-starter and is comfortable to work in a highly ambiguous environment