Data Analyst (Internship) (H1 2027)

At ShopBack, we handle a lot of data that can tell us about the way shoppers make buying decisions and the data team is responsible for collecting, processing and organising these large amounts of data. We then analyse these complex datasets to draw out practical findings and data solutions that different stakeholders can utilise to enhance the ShopBack experience. As a Data Analyst (intern), you will see a direct link between your work, company growth, and user satisfaction. You will partner with different stakeholders to support business decisions and generate actionable insights. Your work has a direct impact on millions of shoppers in 13 markets ShopBack operates in and is pivotal in driving the direction and future success of ShopBack. This posting is for applicants for H1 2027 and has a minimum requirement of 6 months.

Responsibilities

Be the owner of key business metrics and create reports and dashboards to monitor them, so that stakeholders can evaluate current strategies and decide on future strategic decisions; Build and maintain scalable data models and metrics layers, and use them to validate how user actions drive business performance; Build AI-powered data tools — agentic workflows and internal AI assistants — that scale how we deliver analytics to business teams; Build a strong understanding of ShopBack's data ecosystems within the internal teams and be the data evangelist who makes sure we make the best use of available data and promote a self-service analytics culture; Keep our data trustworthy — build robust checks and alerts that catch issues before stakeholders do

Requirements

Minimum commitment period of 6 months full-time; Solid knowledge of SQL is required; Excellent communication skills to convey data solutions to stakeholders; Self-starter and comfortable to work in a highly ambiguous environment where scope of responsibility is driven by the needs of ShopBack users; Demonstrated competency with Gen AI and agentic tools (e.g. ChatGPT, Cursor, Claude Code) to build new workflows and tooling that enhance productivity; Only candidates located in Singapore will be considered

Nice to have

Python

Benefits

Career growth opportunities to take on greater challenges that help you realise your ambitions; Be part of a winning team on a journey to global scale; Competitive compensation based on performance; Candid, open, and collaborative culture where feedback is valued