- Experience
- 1+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 weeks ago
- Work mode
- In office
- Education
- Bachelor's degree or above
- Eligibility
- Candidates with a bachelor’s degree or above in a relevant field and at least 1 year of internet-industry experience preferred are suitable for this role.
- Resume
- Required to apply
Where you'll work
Job description
Role overview
This position is focused on turning e-commerce data into clear business insights for regional buyer and marketing decisions. The analyst will help shape product metrics, spot unusual data patterns, and surface risks that could affect product performance or business outcomes.
What you will do
- Create and maintain a product metric framework for e-commerce use cases, while tracking data irregularities and flagging possible business risks quickly.
- Support product and business decisions with well-grounded data analysis and recommendations.
- Dig into datasets to identify commercial opportunities and product enhancement ideas, then present findings in structured, convincing reports.
- Work closely with relevant teams to strengthen data collection quality and help drive execution of recommended actions.
- Test and adopt emerging AI tools that can improve the speed and quality of analysis work.
Requirements
- A bachelor’s degree or higher in Statistics, Mathematics, Computer Science, or another related field.
- At least 1 year of experience in the internet industry is preferred.
- Solid grounding in mathematical statistics, strong data intuition, and careful logical reasoning, with the ability to handle analysis work independently.
- Strong SQL skills, including awareness of query efficiency; Python is an added advantage.
- Preferred exposure to data mining methods and big data technologies.
- Good business sense, strong communication skills, and the ability to present ideas clearly.
- Comfort with product strategy, project coordination, teamwork, and coming up with practical, creative solutions.
- Willingness to learn quickly and adapt to new tools and knowledge.
- Positive, energetic, and collaborative team player.
- Self-driven, organized, systematic, and proactive in approach.
- Able to work independently as well as across functions.
- Prior experience with AI is preferred.
Additional information
Work mode: onsite in Singapore, Singapore.