Ninety percent of Nigerians and Kenyans are not qualified for jobs they apply for, data analyzed by Ringier One Africa Media Group show. 

ROAM, the publishers of Jobberman, a market-leading job portals in West Africa and Brightermonday, another one in East Africa, says the company analyzed data from more than 12 million users and over 100,000 employers across Nigeria and Kenya in the last two years.

“We have recently conducted a data review and were shocked by this huge gap. Our initial hypothesis was that this is due to a shortage of jobs, gaps in the labour markets, and desperation,” says Matthew Page, ROAM head of jobs.

“However digging deeper into our database, our analysis found that many candidates were indeed qualified for other available jobs, but did not necessarily apply for these. African employers and our clients indeed face a challenge in hiring the right people.”

The company’s also realized that an average job listing receives about 140 – 160 applications. This means Nigerians and Kenyans want jobs but are applying for the wrong ones. 

Employers have to scan through these huge application files to uncover the 10 percent candidates who actually match the jobs they applied for.

“Hiring the right competency upfront typically returns three time productivity for the employer. It also minimizes the onboarding time required to get an employee up to speed,” Page says.

“That is why we have launched smart employer products in the last months. These facilitate a smooth hiring experience for employers, through tech-enabled shortlisting and matching products that identify the best candidate for the best position”.

Clemens Weitz, CEO of ROAM, says “our research clearly shows that the education of the African job market has a long way to go – both on the seeker and employer side”.

“Solving this challenge will unlock tremendous latent economic potential. Imagine an efficient economy, where all employees sit in the job that is a perfect, natural fit for their individual nature. Productivity and satisfaction would skyrocket. AI and machine learning have tremendous potential, and we plan to fundamentally solve this challenge in 2019.”

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