The workplace is constantly changing and how we define what we do is no exception. Since we just welcomed the new 2014, we thought it’d be fun to see how much our work has changed in the past few years.
We examined the data of over 259 million members’ profiles to determine the top 10 most popular job titles that were nowhere to be found in 2008. Here is what we came up with:
In 2007, Apple and Google had just announced the iPhone and Android platform respectively, so it shouldn’t be much of a surprise to see very few (if any) members claiming to be an iOS or Android developer five years ago.
But what if you told someone you were a Zumba instructor or Beachbody coach back in 2008? Chances are good you’d sound like a crazy person with your gibberish future-speak!
In fact, the most trendy titles belong to tech and fitness. (Some would argue “fad” fitness, but I don’t judge. I let the data do the talking.) When we dug deeper into the list (around the 20’s and 30’s), we found fitness titles like “holistic health coach” right alongside tech titles like “backend developer.”
So, what does the future hold? The job titles you see in the list above are a reflection of how LinkedIn members choose to define their work today. Some of them aren’t entirely new jobs, but rather a combination of pre-existing skills, or simply job titles that have undergone a little bit of “rebranding” in the past few years. Odds are good that the next hot job title follows a similar path so make sure you keep this in mind for your next candidate search.
Methodological details: We counted the frequencies of all English words and phrases used in job titles that were held in 2013 and compared the results to job titles that were held in 2008. We then took the top titles that saw the largest growth in frequency in that 5 year period and ranked them by their relative size in 2013. “Big data” and “cloud services” were the root phrases used to determine frequencies for “big data architect” and “cloud services manager” (which had many permutations, e.g. “big data architect/analyst/engineer” etc.). For simplicity’s sake, the titles you see above were used as examples. Data is current as of November 26, 2013.