Regional Analytics Engineering Intern

Key Responsibilities

• Pipeline & Modeling Support: Assist in writing and optimizing SQL queries and dbt models to clean and transform raw regional data in BigQuery
• Dashboard Development: Assist in maintaining our Looker (LookML) code and building high-performance, customized dashboards for our boutique networks
• Data Quality Assurance: Build automated data quality test to monitor data anomalies and our regional data pipeline performance to ensure our analytical products maintain 100% data accuracy
• Platform Migration & Modernization: Actively assist in documenting and migrating legacy reporting systems into our unified, cloud-based GCP platform
• Data Governance & Documentation: Standardize regional KPI definitions, engage with key stakeholders and maintain clear, structured data documentation to foster a strong regional data community

What We Look For

• Academic Background: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Statistics, or a highly quantitative field (Mathematics, Econometrics etc.). Must be currently enrolled in university and eligible for a full-time 6-month internship in Hong Kong

• Technical Toolkit:

• Proficiency in SQL (compulsory; practical testing will be part of the process)

• Basic understanding of data warehousing and data modelling concepts (BigQuery, Star Schema), and version control (GitOps and CI/CD)

• Experience or strong interest in dbt (data build tool) and Looker (LookML) is a major advantage

• Intermediate coding/scripting skills in Python (highly preferred for pipeline automation and AI integration)

• Analytical Mindset & Soft Skills:

• Critical Thinking & Problem Solving: Methodical, structured, and curious when troubleshooting technical bugs or data discrepancies

• Communication & Presentation: Ability to communicate technical concepts clearly and effectively to diverse business stakeholders across different markets

• Luxury Industry Passion: A genuine interest in learning how advanced data analytics drives decision-making, retail performance, and client experience in the luxury industry

• Languages: Fluency in English is required; proficiency in Chinese (Cantonese and/or Mandarin) is an advantage.