How innovative analytics improve the chance of success in job seeking
Author: Brad Nguyen — Lead Data Scientist at Gooroo
For the data science team at Gooroo.io, a question commonly asked is, how can big data be utilized to improve recruitment, for both those hiring and job seekers? Like many big HR tech companies, we also use data to produce insights and trends on jobs and salaries (like Stackoverflow Trend Survey or SEEK’s job trend). What’s more, at Gooroo we are looking beyond general insights and into smart, innovative analytics that can help individual recruiters and applicants with their job searching.
Gooroo’s big data platform takes millions of data points, ingested from both sides of the marketplace — across job advertisements (supply) and job seeking talents (demand).
Below are a few things about smart analytics at Gooroo.io.
Understand supply and demand, location-specific and industry-specific
While most people understand that Data Science and Mobile App Development, for example, are hot trends, such insight is not overly actionable. It is much more useful to delve into such trends by location and by industry. For instance, our data tell us that Enterprise Software skills (such as Microsoft Stack) are much more popular in cities with finance or industry bases such as Chicago and Texas, while start-up skills (like Ruby on Rails) are more popular in California.
Knowing that the number of jobs is increasing does not always provide the full picture for recruiters to adjust their strategy -what if the growth of talent pool also grows at a much faster pace? Does the salary trend also reflect the demand/supply dynamics (not necessarily, as the market needs time to adjust)?
Good news is, our coming Gooroo Insights™ product provides an easy way to answer that.
Cultural fit meets big data
It is widely agreed that cultural fit (based on behavioral characteristics) is a great if not the most important factor in recruiting and in career development. Despite this, most hiring platforms only concentrate on assessing skill match, due to the lack of accurate instruments to assess cultural fit.
Today, we have amassed data on tens of thousands of behavioural profiles from our candidates from our proprietary cultural fit instruments . This data gives us unique insight into how behavioural data might complement skills data to successfully fill roles.
The graph above displays stats about behavioral profiles of successful applicants. While cultural fit is role-dependant, data tells us that among successful applicants they tend to rate highly in terms of collaboration or “understanding”, and less on being “disruptive”.
More importantly, we are also validating that behavioral preference can vary among job types and industry, too. For example, contract jobs have a lower requirement about cultural fit (and more on skills fit) than a long term hire. Such understanding allows us to refine our products to support hirers to fine-tune their cultural fit preferences.
Not just relevant skills, but spot-on skills
At Gooroo, we have invested significantly in building a hierarchy for Skills and Careers, sort of an Atlas for all things relating to job search. As a result, we have significant expertise in tuning the jobs so they are bespoke, on-trend and appeal to the most candidates of a given location.
In the coming posts, we will cover a number of topics on how Gooroo uses analytics, big data and machine learning in many other areas.
2. How we significantly optimise job application process.
3. Industry trends (such as the move of Amazon to Australia)
4. Macro skills and career trends
5. Top movements in the job markets