Salary
≈ $63k – $142k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior · 2+ years exp
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.
Overview
Company
Impact
Profile match
Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
We are seeking a highly skilled and motivated individual to join our team as a Data Analyst. In this role, you will:
- Gather business requirements from different functional teams and translate them into suitable data solutions
- Convert ambiguous business problems into concrete questions and hypotheses to be solved using data-driven multi-disciplinary problem-solving approaches
- Work with various partner teams to ensure data accuracy and integrity
- Create and maintain interactive dashboards/reports to effectively provide visibility on business performance for business stakeholders
- Leverage on data expertise and business understanding to perform analysis and provide insights to influence business decisions & hypotheses
To be successful in this role, you should have the following qualifications:
- Bachelor's degree or higher in Data Science, Business Analytics, Statistics, Mathematics, Engineering, or a related field
- At least 2 years of relevant experience with handling large volumes of data using SQL & Python (PySpark experience is a plus)
- Proficient in Excel for data manipulation and analysis
- Outstanding in interpersonal communications and stakeholder management
- Experience in understanding business problems, translating it into business requirements and coming up with suitable data solutions.
- Knowledge and experience in Data Science is a plus
- Experience in e-Commerce or the internet industry is preferred
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