Carousell is a classifieds marketplace that makes selling as easy as taking a photo, buying as simple as chatting. Launched in August 2012, Carousell began in Singapore and is now one of the world's largest and fastest growing marketplaces. We have market presence in eight markets (Singapore, Hong Kong, Malaysia, Philippines, Indonesia, Taiwan, Myanmar, and Vietnam) and three technology development centres in Singapore, Taiwan and India.
Carousell is backed by leading investors, including Telenor Group, Rakuten Ventures, Naver, and Sequoia Capital. The Carousell marketplace has a diverse range of products across a variety of categories, including cars, lifestyle, gadgets and fashion accessories. As a team of passionate individuals working together to solve meaningful problems, there is so much more for you to discover in a career with Carousell.
We're looking for a data analyst intern to join the Data team in Carousell and work with our team on a surfeit of data related projects in Carousell which may include but are not limited to ETL automation (Extract, Transform or Load), A/B testing, and generating product & business insights with data analysis.
This role will report into the Senior Data Analysts.
Note - This will be a 6 months internship programme based in Singapore, the right to work in Singapore is required.
You will be attached to one of the domains in the Data Team, and will own at least 1 major area of responsibility throughout your 6 months of internships. There will also be the ability to rotate between different areas of learning should the opportunity arise.
The scope of data projects or tasks you may be involved in include but are not limited to:
Data ETL design and automation to generate business performance metrics and reports AB testing and experiment design for our product features
Participate in data analysis projects (either descriptive or predictive) to generate key product or business insights
Communication and presentation of key insights to business or product stakeholders to aid decision-making
Good SQL and Python knowledge is preferred - you should possess at least basic core skills in querying and processing data
Good stats knowledge is preferred - understanding of basic statistical concepts like P-value or T-tests will help aid experimentation and testing
Sensitive to data integrity and understand the importance of data quality to generate accurate analysis
Good communication skills to understand business requirements and communicate with / present to business stakeholders where needed
A positive, can do attitude - resourceful to drive your own learning while at the same time able to proactively reach out for mentorship and guidance which is availed to you