This test, the Data Analyst (R) test, will evaluate the candidate's proficiency in R programming, data analysis, data visualization, machine learning, statistical analysis, business intelligence, and data modeling.
The test will measure the candidate's ability to work with large data sets, clean and transform data, and create visualizations to communicate insights to stakeholders effectively.
Questions
20
Time
20 min
Level
intermediate
Used
4440
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74%
of employers admitted to making the mistake of hiring someone unsuitable for a job.
27%
of businesses reported incurring losses of over $75,000 due to incorrect hiring decisions.
50%
chance of a hiring manager making an incorrect hiring choice.
23%
of businesses reported a decrease in output due to an unsuitable hire.
<10%
of unstructured job interviews are effective at predicting the best candidates.
Why does it happen?
hiring is difficult due to reliance on subjective, inconsistent opinions.
Data Analyst (R) assessments are crucial for hiring companies and HR managers during the pre-employment screening process. These skill tests provide a comprehensive evaluation of a candidate's abilities in statistical analysis using the R programming language. By conducting online aptitude tests, hiring managers can assess candidates' proficiency, saving time and effort. With Hirenest, companies can access affordable assessments without compromising on quality. The test includes examples, questions, and answers, ensuring a thorough evaluation of candidates. Streamline your hiring process, interview the best, and make informed decisions with Hirenest's Data Analyst (R) test.