But did you know that analytics professionals most involved in data preparation or having their hands in a little bit of everything are those most likely to have a Master's degree? Or that analysts tend to work in small groups?
These are among a variety of findings the International Institute for Analytics (IIA) and Talent Analytics learned in a recent survey of analytics talent. You might recall this study: Back in July, Greta Roberts, CEO of Talent Analytics, a talent data firm, shared an invitation with AllAnalytics.com members to join the study as she e-chatted with us about the impending analytics skills shortage and how best to address the issue.
Hopefully some of you did participate and number among the 302 "deep dive" analytics professionals who responded to the survey, results of which the IIA and Talent Analytics shared in a web conference earlier this week. I'll be talking with the researchers next week and will share their deeper impressions then, but in the meantime, here are some additional tidbits.
Gender and age About that young, male contingency? The male/female balance among survey respondents is about what you'd expect based on what we see elsewhere. However, the sampling was, in fact, younger than anticipated, Pasha Roberts, CTO of Talent Analytics, said during the web call. Specifically, he noted, 72 percent of the survey population was male. Fifty-seven percent hadn't hit their 40th birthdays yet, with only 17 percent topping 50.
Education Analytics professionals are an educated bunch -- no surprises there. But only 16 percent have doctorates, and those cluster mostly in management positions. Slightly less than half -- 47 percent -- have Master's degrees; 36 percent have Bachelor's, or less. Math/statistics and business dominate the areas of study while "surprisingly few" have degrees in science, economics, or finance, he said.
The talent pool While the number of analytics professionals at respondent companies ranged pretty much equally from the smallest to the largest grouped sizes, results show that most analysts -- 80 percent -- work in groups of no more than 10. Add "ability to work in small groups" on your hiring checklist for analytics talent, he suggested.
Analytics software in use Interestingly, given the frequency of conversation around R and other open-source analytics software, survey findings show that's harder to find in the workplace than commercial alternatives. The survey showed twice as much commercial software as open-source software in use by analytics professionals, Roberts said. Oh, and one other tools note: "Everybody uses spreadsheets."
Tenure A young workforce means analytics professionals haven't been at their jobs all that long, naturally. The survey showed that 29 percent of respondents have been professionally employed in analytics for fewer than five years and 60 percent for fewer than 10 years. Slightly more than half -- 52 percent -- of respondents have been at their current places of employment for fewer than three years and only seven percent for more than 10 years.
Roberts also shared how the numbers break down by current role: 49 percent at fewer than two years, 88 percent at fewer than five years, and two percent at more than 10 years.
Functional roles Researchers broke respondents into four functional clusters:
- Data preparation: Spends most time in acquisition, preparation, and analytics
- Programmer: Spends most time programming and in analytics
- Manager: Spends most time in management, administration, presentation, interpretation, and design
- Generalist: Does a little bit of everything
Where do you fit in? And how does this play out in terms of your psychometric profile? We'll find out more next week!