Data Analyst - Business Intelligence, Marketplace Operations (2026 Graduate)
ShopeeAbout the team
Shopee’s Regional Marketplace is constantly solving problems and introducing innovative solutions to improve platform usability and enhance end user experience for our buyers, sellers, and partners.Sitting at the core of our business, our teams collaborate with various departments to manage end-to-end e-commerce processes, and design scalable solutions to create impact across multiple markets.
We deep dive into the fundamentals of each aspect and drive strategic initiatives to refine our policy, processes and features for greater product and operational excellence.
As a Data Analyst in Regional Marketplace Operations, you will leverage data analytics to support teams such as Customer Service, Listings, Seller Operations, Returns & Refunds, and Fraud. We analyze performance trends, identify opportunities for process improvements, and recommend data-driven solutions to enhance the overall shopping experience for our users.
What you'll do
- Work closely with large datasets to build data visualisation and dashboards that inform strategic planning and sound business decisions
- Understand functional and technical requirements to build reports that deliver actionable insights to key stakeholders
- Build and maintain data infrastructure (data pipelines, aggregated data sets, reports, dashboards) to facilitate development of key metrics to measure efficiency/impact/outcomes of day-to-day operations
- Conduct research and synthesise findings into plans, processes, and playbooks that are clear and lead to actionable insights
- Collaborate with cross functional and product teams across multiple markets to build, test, and implement new processes and systems
- Drive adoption of the team’s initiatives through strong collaboration and alignment of organisational needs with various stakeholders
- Explore and execute usage of Generative AI capabilities for automation and insights
Requirements
- Bachelor’s degree in a quantitative subject such as Business Analytics, Statistics, Engineering, Mathematics, or Computer Science or any related field
- Proficiency in SQL/Python
- Familiarity with Generative AI tools
- Experience with big data tools (e.g. Hadoop, Hive SQL, Spark), ETL tools, data visualisation tools (e.g. Tableau, Looker) and statistical analysis (e.g. hypothesis testing, regression, data modelling techniques) preferred
- Ability to analyse and synthesise data from both quantitative and qualitative sources
- Ability to draw insights from data to design practical and scalable solutions
- Ability to explain technical concepts clearly and succinctly to various stakeholders
- Ability to thrive in a dynamic and collaborative environment
Hiring Code: CP2026