DATA & ADVANCED ANALYTICS  
JOBS IN HONG KONG SAR

Unleashing data’s potential

The rise of AI and machine learning and the need to drive data integrity, compliance and digital transformation make Data Analysts some of the most valuable members of an organisation.

Demand is high, and professionals with the right skills are limited, so Data Analysts can be generously rewarded for their work.

Find my next Data & Advanced Analytics job

Whether you’re looking to join a dynamic start-up or a large enterprise, our experts are committed to finding you a new role at a company that’s right for you.

We’ll find out exactly what you want and then make sure our exclusive network of employers gets to hear about you, your skills and expertise. You’ll be able to capitalise on the demand for ambitious Data Analysts and we’ll support you every step of the way to secure your next role. 

Find your nearest office to get in touch with us, send us your CV or browse our latest available Data Analyst roles. 

Latest Data & Advanced Analytics jobs

Analyst - Global Bank (1 year exp welcomed)
HongKong
Excellent Bonus
Data Engineering Lead (Databricks/ETL, 60k-75k)
HongKong
60k-75k
Senior Manager, Data Governance (FS)
HongKong
and good bonus
See more

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Your Data & Advanced Analytics job questions, answered

What salary does a Data Analyst earn in Hong Kong SAR?  

Salaries will certainly vary depending on the role, location, and experience of the individual, but typical salaries average between HKD $384 - 660K for junior roles, and up to HKD $1,140K for a Head of Analytics role.  
 
Learn more about typical earnings or benchmark your salary with the Hays Greater China Technology Salary Guide.

What type of employers are hiring Data Analysts?  

With the focus on data increasing across nearly all industries, almost every organisation will need professionals to help them make sense of their data, so you’ve no shortage of choice.    
  
Larger established corporations with massive business data stored in their ERP and digital platforms will always require in-house data professionals to manage that data. Internet and software companies tend to also build data-centric teams. Of course, many start-ups and scale-ups today also recognise the importance of data skills to help them fine-tune their product offering and grow sales.   

What qualifications or experience are beneficial to my applications for Data Analyst jobs?  

A degree in math, statistics, or some form of computing will certainly be useful.   
  
However, due to the acute shortage of skilled Data Analysts, organisations are prioritising proven experience over qualifications. Experience and expertise in Python, R, and SQL are especially prized by employers. Getting relevant certifications will also help to strengthen your application!   

What are the advantages of working as a Data Analyst?  

With data powering the world around us, data is an exciting area to be working in. Data Analysts make sense of complex data and impact business decisions, and are essential personnel in most industries and functions, including Marketing, R&D, and the development of new technology.   
  
On a more practical note, the surging demand for Data Scientists and Data Analysts compared to the relatively small pool of available talent in these areas means you have many future career development possibilities to look forward to!  

What technical and soft skills does a Data Analyst need to have?  

Technical skills are critical for Data & Analytics professionals. You’ll need to know your tools inside and out and be highly skilled in statistical programming. Excel and visualisation tools such as PowerBI, Tableau, or Qlik are key, as well as having an understanding of databases such as SQL, Oracle, MySQL or No SQL. Computer programming skills, SQL coding, and knowledge of Big Data technology will also be helpful.   
  
These technical skills show that you’re able to understand and use data to get to the most viable solution, but it’s skills like logical thinking, and problem solving, plus the ability to communicate and influence stakeholders – both technical and non-technical – with your findings that will set you apart from the competition.