worklife blog

Whether you're a jobseeker or employer, the Robert Half blog is your one-stop destination for tips, advice and insight you can use to hire engaged and productive workers or land a challenging and fulfilling job. As a top recruitment agency, we also offer new research about the workplace and the latest insights into the Hong Kong employment market. Learn from Robert Half’s expert recruiters about how you can build a talented team of employees or advance your career forward.

Read more posts for jobseekers >

Read more posts for employers >

Understanding the accounting hierarchy in the workplace

To help you learn who’s who in the accounting hierarchy in the workplace, we take a closer look at the key roles explaining what they do, their level of seniority and how they contribute to the financial management and strategic decision-making within the business.

7 tips for creating a learning culture in the workplace

When embedded as a core facet of your business that extends to all levels of hierarchy, a learning culture is powerful. So how do you implement or strengthen a culture of learning within your organisation? Read on to learn our top 7 tips.

What is a cyber security engineer’s starting salary in Hong Kong

We’ve pulled together the key information you need to know about a Cyber Security Engineer starting salary, from the range you can expect to receive, to the factors that influence where you will fit on the scale, and additional considerations outside your salary that contribute to the overall value of job offers.

5 of the most rewarding careers in IT in 2023

Trying to find out what your career options in IT are? Looking at a career switch? We’ve identified five of the IT jobs that you should find both fulfilling and financially rewarding in 2023.

Data Analyst vs Data Scientist: What is the difference?

Whether you’re an employer looking to hire IT talent to bring meaning to your data, or a graduate or professional looking to enter the field, find out the difference between a Data Analyst vs Data Scientist.