Big data related jobs that were closed during Q1 2022 had been online for an average of 30 days when they were taken offline.

This was identical to the equivalent figure a year earlier, indicating that the required skillset for these roles has become no easier to find in the past year.

Big data is one of the topics that GlobalData, our parent company and from whom the data for this article is taken, have identified as being a key disruptive technology force facing companies in the coming years. Companies that excel and invest in these areas now are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.

On a regional level, these roles were hardest to fill in North America, with related jobs that were taken offline in Q1 2022 having been online for an average of 30 days.

The next most difficult place to fill these roles was found to be Asia-Pacific, while Europe was in third place.

How well do you really know your competitors?

Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.

Company Profile – free sample

Thank you!

Your download email will arrive shortly

Not ready to buy yet? Download a free sample

We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form

By GlobalData

At the opposite end of the scale, jobs were filled fastest in the Middle East and Africa, with adverts taken offline after 20 days on average.

While the railway industry found it no easier to fill these roles in the latest quarter, these companies actually found it easier to recruit big data jobs than the wider market, with ads online for 14.3% less time on average compared to similar jobs across the entire jobs market.

GlobalData's job analytics database tracks the daily hiring patterns of thousands of companies across the world, drawing in jobs as they're posted and tagging them with additional layers of data on everything from the seniority of each position to whether a job is linked to wider industry trends.