Open positions related to big data at food manufacturers were online for less time in the first quarter than a year earlier, data claims.
Big data-related jobs that were closed during the opening three months of 2022 had been online for an average of 14 days when they were taken offline.
This was a decrease compared to the equivalent figure a year earlier, indicating that the required skillset for these roles has become easier to find in the past year.
Big data is one of the topics that GlobalData, our parent company and the source of the data for this article, has identified as being a disruptive force facing businesses 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 South & Central America, with related jobs that were taken offline in the first quarter having been online for an average of 20.5 days.
The next most difficult place to fill these roles was found to be Europe, while North America was in third place.
At the other end of the scale, jobs were filled fastest in the Middle East and Africa, with adverts taken offline after seven days on average.
While the food industry found it easier to fill these roles in the latest quarter, these companies also found it easier to recruit big data jobs than the wider market, with ads online for 60% 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.
Further analysis on job trends in the food industry: