- Company: Get A Job.ai
- Location: Hong Kong
- Salary: Pay not listed
- Work type: Remote
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
Our talent team at Get A Job.ai is representing a confidential blockchain technology organization seeking a Data Analyst intern to join their Risk/Data function in Hong Kong. This is an excellent opportunity to gain hands-on experience with large-scale data processing and analytics in a fast-paced environment.
We are looking for a motivated student or recent graduate who can commit at least 3 days per week for a minimum 3-month internship period.
Responsibilities
- Assist in developing and maintaining SQL-based data pipelines and analytics workflows
- Support data standardization and normalization projects, including address parsing and entity resolution
- Help build and optimize data models, dashboards, and reports
- Conduct ad-hoc data analysis under mentorship and present findings to the team
- Assist in monitoring data quality and implementing validation logic
- Collaborate with team members on cross-functional data projects
What We're Looking For
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
- Solid SQL skills; familiarity with Hive or Spark SQL is a plus
- Basic proficiency in at least one scripting language (Python preferred)
- Strong interest in data analytics, risk control, or fraud detection
- Good communication skills with eagerness to learn and take initiative
- Available for at least 3 days per week for a minimum 3-month internship duration
How We Work with You
Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and interests. Qualified candidates will then be submitted to our client for consideration. Please do not attempt to contact the client directly, as all communication must flow through our team to ensure a smooth process.
Pay
Compensation details will be discussed during the interview process based on experience and qualifications.
Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout our recruitment process.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Explore Get A Job.ai online
Working in Hong Kong
Hong Kong is a special administrative region of China. Situated on China's southern coast just south of Shenzhen, it consists of Hong Kong Island, Kowloon, and the New Territories. With 7.5 million residents in a 1,114-square-kilometre (430 sq mi) territory, Hong Kong is the fourth-most densely populated region in the world.
National unemployment rate in Hong Kong: 2.8% — via World Bank
GDP per capita in Hong Kong: $56,983 — via World Bank
Consumer price inflation in Hong Kong: 1.4% (annual) — via World Bank
Real GDP growth in Hong Kong: 3.5% (annual) — via World Bank
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role BAP – Data Analyst
- Employer Get A Job.ai
- Location Hong Kong · Remote-friendly
- Type Internship
- Pay (from listing) Pay not listed
- Posted September 1, 2026
- Apply by October 1, 2026
- Country Hong Kong
- Overview Full job description on this page (317 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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