The introduction of “big data” in human resource management resulted in major changes in the recruitment process. Numerous companies are starting to use analytics to lower recruitment costs while also reducing employee turnover.
What does this mean for job seekers?
Resumes are mainly processed by computers, not by people. This reduces subjectivity while at the same time facilitating the process of finding the right people for the job. By going over the information in your resume, the company will know if you are a good fit for the company or not.
Here are some interesting details data analysts will know about you while going through your resume.
1. Whether You Are Qualified or Not
Your resume is the first thing potential employers will look at to assess your qualifications based on your skills, experience, and education. Basic search algorithms will look for keywords to determine whether you are a good fit for that particular position.
Recruiters tend to look for experienced but trainable people; if you meet at least 60 percent of the skills required in the job description, you are likely to pass the initial screening.
2. Your Work Performance
There are specific details in your resume that could give recruiters a better idea of just how suitable you are for the position. Obvious information such as your job history or how long you have been unemployed may not matter.
In some cases, it won’t matter where you went to school; whether you took a business analytics degree online or in a prominent local institution will often be irrelevant in the screening process. Naturally, data points on recruitment are all up to the hiring company.
For instance, when hiring Sales personnel, the distance of the commute was cited as one predictor of employee performance. The metrics may change depending on your profession, but based on your resume and other personal tests, analysts can predict your work performance.
3. Expected Length of Stay with the Company
The cost of a bad hire is about 30 percent of that employee’s salary for the first year. Through a series of data points based on the information in your resume and other assessment tools in the application process, it’s possible to predict if you plan to stay for the long haul.
4. Your Success Rate
Before a company hires you, they want to determine whether you can make a sizable contribution to boosting their brand. Information included in your resume could help them in this process.
Based on one talent analytics assessment, predictors of job success in sales include success in prior jobs, experience in auto or real estate sales, and a resume free of any typographical or grammatical mistake.
These are just four things that can be predicted about you by data analysts. Combined with assessment tests and interviews, analysts can provide a more in-depth report on how suitable you are for a certain position.