Regional Analytics Engineering Intern

历峰集团 (Richemont) 是全球奢侈品行业的领导者之一，旗下拥有多个专门从事珠宝、手表和高端配饰的品牌。 每个品牌都自豪地体现了风格、品质和工艺的传统，历峰集团致力于保留每个品牌特有的传承和特色。 同时，我们致力于通过持续的创造力，创新和设计符合我们品牌价值观的新产品。

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.

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