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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. 

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Your Data & Advanced Analytics job questions, answered

How much does a Data Analyst earn in Singapore?

Salaries will certainly vary depending on the role, location, and experience of the individual, but typical salaries average between SGD $45-72K for junior roles, and up to SGD $200K for a Head of Analytics role.  
Learn more about typical earnings or benchmark your salary with the Hays Salary Checker.  

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 manage growing data volumes and draw insights from data for better business decision making, so you’ve no shortage of choice.  
That said, with an increased focus on better understanding customers and how their buying behaviours drive sales, the appetite for Data specialists tend to be higher in B2C companies. 

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

Employers value domain knowledge, so the more years you have in a specific industry, the higher your changes of securing Data Analyst role in the same industry.  
In most cases, know-how in business intelligence tools like Tableau or PowerBI is something employers tend to look out for, especially now that organisations are looking to leverage informational dashboards to facilitate reporting and decision making. Python is also fast becoming a required skill for Data Analysts.  

What are the advantages of working as a Data Analyst?  

With data powering the world around us, more organisations will turn to Data Analytics as data volumes grow. Data Analysts make sense of complex data and impact business decisions, and are essential personnel in most industries and functions. If you’re looking for a role with high business impact, Data Analytics will be a good area to focus on.   
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 and Analytics professionals. You’ll need to know your tools inside and out and be highly skilled in statistical programming. Business intelligence and dashboarding tools such as PowerBI, Tableau, or Qlik are key. Skills in Python and SQL coding, as well as 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 the soft skills that employers look out for. Skills like data-based storytelling and presenting communicating solutions from data insights are especially prized by employers. The ability to engage and communicate with stakeholders – both technical and non-technical – with your findings will set you apart from the competition.