Analyzing Hiring Data: How do I Fare?

By Tuesday, December 17, 2013 Blog No Comments

Last month, I wrote a blog on hiring ratios. In order to come up with these ratios, I looked at Jobvite’s Big Data, an infrastructure comprised of a large sample of aggregated Jobvite customer data and gleaned some solid facts.  As I started to look at the data I started to ask few questions to myself:

1. How long does it take to hire an engineer?

2. I know it is hard to hire engineers here in the valley. But how hard is it relative to hiring for other functions?

3. Are we the only ones who are selective in hiring?

4. How does Jobvite fair compared to others?

As I started to analyze the data, not only I was able to find answers to my questions, I was also able to find many more interesting observations that are worth sharing. 

It takes twice as much time to hire an engineer than it takes to hire a customer support specialist. Take a look at the table below.

 

 


 

More than 90% of Jobvite customers are hiring engineers. Companies receive far more applications for Marketing and Product functions than for engineering functions. In the table below, you can see that companies receive almost 1.5 times more applications for marketing positions than for engineering positions: 

 

 

 

 

Engineering jobs in the Bay area are in San Francisco, Mountain View, Santa Clara, Sunnyvale, and Palo Alto.

Most Engineering jobs outside the Bay Area are in Austin, New York, Seattle, Chicago, and Indianapolis.

Thus, analyzing recruiting analytics can help you benchmark your hiring efforts and discover trends within your industry.

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