Hypebeast is a leading global platform for contemporary culture and lifestyle, and a premier destination for editorially-driven news and commerce. Founded in 2005, it became a publicly listed company in 2016, and today boasts a global readership across North America, Asia Pacific, Europe and more. The Group has expanded its publishing brands to a wider scope, encompassing Hypebeast and its multiple content distribution platforms, creative agency Hypemaker, and e-commerce and retail platform HBX.
As a Data Analyst, you’ll partner closely with Sales & Marketing, Product, and other Business teams to turn data into actionable insights. You’ll also play a key role in ensuring our tracking is correct and trustworthy across web and app.
Core tools:
Data: BigQuery (SQL), dbt
Analysis: Python (Jupyter notebooks)
Tracking: Google Analytics 4
Dashboards: Power BI, Looker Studio
Responsibilities:
Own regular business performance reporting (daily/weekly/monthly) and help teams understand what’s driving changes.
Write high-quality BigQuery SQL to extract, transform, and analyze data for reporting and deep-dive investigations.
Build and maintain reusable data models in dbt to support consistent definitions and scalable analytics.
Analyze customer behavior and cohorts across acquisition, engagement, retention, and growth.
Detect anomalies and risks in KPIs; investigate root causes and recommend next actions.
Conduct event tracking QA: Understand tracking plans/specs (web and app); Validate implementations and data quality; Work with engineers to troubleshoot and close gaps.
Communicate insights clearly through narrative, visuals, and stakeholder-ready materials.
Support dashboarding needs (Power BI / Looker Studio) when needed.
Requirements:
2+ years in analytics / BI (flexible based on strength).
Strong SQL (BigQuery) and Python for analysis in notebooks.
Working experience with dbt and data modeling for reusable datasets.
Strong understanding of GA4 and event tracking concepts (events, parameters, attribution basics, common pitfalls).
You test your own work: validate queries, sanity-check outputs, and ensure reproducibility.
Strong storytelling and communication skills; able to translate analysis into decisions.
Strong English communication (spoken and written). Cantonese is a plus.
Nice to have:
Experience working with marketing/ad performance data and campaign measurement.
Experience working with Airflow DAG.
Familiarity with Data Governance.
Familiarity with experimentation measurement and product analytics.
Experience supporting or building dashboards in Power BI / Looker Studio.
Effective use of AI tools/coding agents to increase productivity while maintaining analytical rigor.
Additional information:
The team is lean — successful candidates are highly self-directed.
High autonomy: this role requires independent problem-solving and proactive follow-through.
Cross-functional: you’ll work directly with business, product, and engineering stakeholders.
Pragmatic rigor: balance speed with correctness—definitions and tracking must be trusted.
If you think you’ve got what it takes, please provide your cover letter, CV and expected salary.
This position is based and located in Hong Kong. Candidate must be eligible to work in Hong Kong.
Personal data collected is for recruitment purposes only.
