- Do Your Homework:Network with current employees to find out how a company uses Big Data to hire or reward workers. Companies usually share the results of surveys and focus groups and publicize initiatives that are designed to improve morale and retention. Also, during interviews ask HR about the company’s approach.
- Take Practice Tests: See whether your personality aligns with your desired role. You may need to study the logic and methodology behind pre-hire tests to improve your score.
- Study the Job Description: Address behaviors and attributes listed in the job description when tailoring your resume or answering behavioral interview questions. Don’t underestimate the importance of soft skills and attitude even if you're applying for a highly technical role.
Although some recruiters say more companies are focusing on college degrees in their recruiting, there's another factor candidates have to contend with: How they're using Big Data and predictive analytics in their recruiting. When they do, experience and education can take a backseat to creativity and attitude. Basically, this means that instead of relying on gut instinct, companies are using data modeling to predict who’s likely to succeed or fail on an analysis of the turnover, performance and attributes of successful employees in similar roles. They’re also looking at personality traits, commute times and even a candidate’s attitude toward alcohol to decide who’s likely to quit or miss time from work. In fact, the use of personality tests and other pre-hire assessments is soaring as employers find new ways to interpret and apply the data. For instance, when hiring a Web developer a company may prioritize high test scores for creativity and problem solving over experience. Or, it may pass on a potential technical trainer role based on the way he or she deals with conflict or frequent interruptions. So how do you keep an algorithm from thwarting your search?