Data Analyst Intern - Business Intelligence, Regional Logistics (Summer 2026)

Descrizione del lavoro:

* 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
* Assist the team to 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
* Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems

Requisiti del candidato:

* Currently pursuing bachelor's degree, preferably in a quantitative subject such as Business Analytics, Statistics, Engineering, Mathematics, or Computer Science
* Proficiency in SQL/Python is a must
* 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 thrive in a dynamic and collaborative environment
* Full-time interns preferred (3-6 months)
* Students who can commit part-time, minimally 3 working days a week, are also welcome to apply

Reg SPX's Business Intelligence Data Analysts go beyond performance monitoring and report - they play a crucial role in conducting in-depth data-powered analysis and research that drive key business decisions across Regional Marketplace and Fulfilment Operations.

We're looking for a hands-on, motivated individual who enjoys complex problem-solving and deriving data-backed solutions to help drive high-impact business changes.

You will be exposed to a multitude of functional areas across Shopee as you work on pivotal initiatives to improve our user experience, both within the various teams in Regional Marketplace and Fulfilment Operations and other teams such as Data Science/ Engineering and Product. Additionally, you will also receive guidance, training and support to help you attain valuable skills and grow professionally in your career