Data Analyst (BigQuery, dbt, Python, Google Analytics)
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Job Location:
Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
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 youll partner closely with Sales & Marketing Product and other Business teams to turn data into actionable insights. Youll 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 whats 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: youll work directly with business product and engineering stakeholders.
- Pragmatic rigor: balance speed with correctnessdefinitions and tracking must be trusted.
If you think youve 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.
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To ensure our hiring process is efficient and fair we utilize AI-powered tools for tasks such as initial application screening and resume analysis. By submitting your information you consent to this AI-assisted processing which serves only to aid our human recruitment team. Please be assured that all final employment decisions are made by human reviewers based on comprehensive judgment and oversight. For more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
HYPEBEAST was launched in January 2005 as a one-stop news source for internet-savvy fashion enthusiasts. Frustrated with having to browse multiple sites to keep up with the latest information, the creation of HYPEBEAST allowed for the latest news to be broadcasted through one specific ... View more
