Golden Gate Ventures

Careers

Data Intern, Classifieds Growth (May - Oct 2020) at Carousell
Singapore

Carousell is one of the world's largest and fastest growing mobile classifieds apps with a mission to inspire every person in the world to start selling and buying to make more possible for one another.

Since our launch in Aug 2012, we've expanded into 8 countries with over 250 million listings. 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.

Here at Carousell, our data & engineering teams work on a myriad of problem domains. You get to work with data generated by millions of buyers and sellers & converting them into actionable insights, for both our users and team. You will have the autonomy to lead and explore data science projects to solve key business problems, by working together with a core team of passionate data analysts, scientists and engineers.

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 (Extract, Transform or Load), A/B testing, and generating product & business insights with creative data analysis.

Note - This will be a 5 months internship programme based in Singapore starting from May 2020, the right to work in Singapore is required.

You will:

You will be attached to one of the sub-functions in the Data Team (e.g. Business Intelligence or Product Analytics), and will own at least 1 major area of responsibility throughout your internship. 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 include but are not limited to:

Understand business requirements

Analytical & reporting skills

Presentation & Visualization on data insights

Database Modelling and Management

You have:

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.