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Utilization of Skills Assessments to Overcome the Data Talent Challenge

By HR Tech Outlook | Friday, July 17, 2020

Skill assessments can help increase talent sources and variance of candidates applying to data science jobs, reduce interview time, save cost and time from integration with applicant tracking systems, and support of non-technical staff.

Fremont, CA: Skills are employees’ major assets. Well-seasoned skill sets enable employees to accomplish tasks with more efficiency. Therefore, skill assessments have become a very useful job candidate screening tool for human resources professionals.

Here, let us look at the ways HR can use skill assessments to solve the data talent challenge: Top 10 RPO Firms in Europe 2020

Evaluating Current Employees for Data Science and Analytics Roles

Companies are starting to recognize the need to look internally to bridge their data and analytics skills gap. Skill tests are a good way to assess an analyst’s potential to reskill in various areas of data science by figuring out areas of skill strength and weakness in the field.

Attracting and Screening New Data Talent

Skill assessments allow HR to conquer certain challenges in recruiting new talent. It can help increase talent sources and variance of candidates applying to data science jobs, reduce interview time, save cost and time from integration with applicant tracking systems, and support of non-technical staff.

Promoting Data Literacy and Fluency within an Organization or Team

It’s becoming important to create programs to actively encourage data fluency and data literacy among business managers and employees. Though this has become a part of creating a data-driven culture, many companies are still reluctant to undertake data literacy and data fluency programs.

HR is responsible for learning and development programs. HR professionals can use a generalized skills assessment, which involves a pre-test self-assessment to perceive the workforce's analytical and technical understanding and capabilities. Based on the insights, HR can decide what training and development programs are needed to increase analytics skills and data literacy.

Strengthening the Long-Term Value of Employees

Nowadays, talent management is all about attracting and retaining the best talent.

Testing employee skills on a daily basis, starting with the interview and then perhaps annually can help identify training opportunities, scopes for development and ensure that employees are learning new skills and developing knowledge of data science platforms and tools.

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