This exploratory data analysis (EDA) test evaluates a candidate’s ability to understand and statistically interpret data to derive actionable insight. This hiring test helps you identify candidates well versed in EDA and various statistical analyses.
Data analyst, data engineer, data scientist (from any discipline), anyone that works with data.
Exploratory Data Analysis (EDA) requires a balance of creativity, cleverness, and deep knowledge of statistical analysis. An expert EDA practitioner must also quickly learn and internalize the nuances and needs of varying industries and businesses. This hiring test focuses on feature engineering, data visualization, and statistical analyses to identify candidates who excel at intermediate EDA.
A strong exploratory data analyst converts business problems to data science problems and uses data and visualizations to create and test solution-driven hypotheses. This screening test presents example datasets across industries and asks candidates to choose actions to solve issues and respond to questions typical for EDA practitioners.
This Exploratory Data Analysis (EDA) test assesses a candidate’s ability to work with data from start to finish. This screening test evaluates a candidate's ability to extract key information, develop various kinds of data visualizations to identify trends, as well as understand and interpret various kinds of data types.
Candidates who perform well on this screening test will have a strong understanding of EDA and a practical ability to perform various kinds of data analysis. This is an intermediate test designed for someone with 2-3 years experience with EDA.
Use this hiring test to find the next Exploratory Data Analyst who will leverage your business analytics to increase efficiency and increase revenues.
After working on data analytics for more than a decade with several Fortune 500 companies, Adnan is now convinced that properly-handled data can answer almost any business question. He believes that, generally, data is the biggest asset a business can leverage for success. Adnan has now founded his own start-up and works to increase data literacy in small organizations, helping them augment their business intelligence with the help of data analytics.
TestGorilla’s tests are created by subject matter experts. We assess potential subject-matter experts based on their knowledge, ability, and reputation. Before being published, each test is peer-reviewed by another expert, then calibrated using hundreds of test takers with relevant experience in the subject. Our feedback mechanisms and unique algorithms allow our subject-matter experts to constantly improve their tests.
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For a bit of context—I am a diversity recruiter trying to create a platform that removes bias from the hiring process and encourages the discovery of new and unseen talent.
Chief Talent Connector, Small-Business (50 or fewer emp.)
The Exploratory data analysis test will be included in a PDF report along with the other tests from your assessment. You can easily download and share this report with colleagues and candidates.
How well do your candidates perform exploratory data analysis (EDA) tasks, and which professional applicant should you hire for your open position? Because hiring EDA roles are complex and hiring an expert requires you to evaluate several skills, it can be tricky to determine which professionals are most suitable for your organization’s needs. The best way to make this decision more easily is by using this Data Analyst test. Our subject-matter experts made the Data Analyst test to ensure you hire top talent regardless of the challenges.
You might have already noticed that traditional hiring techniques have not produced the recruitment results you're looking for, failing to find the right EDA expert for your team. Don’t fret. This Data Analyst test will help you identify genuine professionals far more efficiently than poring over dozens of CVs.
The most skilled EDA experts can transform complex business problems into data science, representing those issues as valuable data and visualizations. There are multiple benefits to having a capable and professional EDA professional on your side, one of which is to test data-driven hypotheses and solve problems efficiently.
Nonetheless, if you’re a recruiter without any EDA expertise, you may find it challenging to hire an EDA applicant. If you have a large talent pool, filtering exploratory data analyst candidates takes longer than expected. If you’re an HR professional using traditional resume screenings, optimizing your time and dedicating due attention to onboarding and training is difficult. Alternatively, our EDA test enables you to speed up the hiring process, assess your candidates objectively, and identify the most suitable candidates far more effectively than traditional hiring methods.
Do you need to know whether your EDA applicants have the right statistical analysis knowledge? Are you looking for ways to find candidates who are seasoned data visualization professionals and understand feature engineering extensively? This Exploratory Data Analyst test is the best way to review these skills. It will identify applicants with the data science knowledge required to take the lead in EDA tasks and ensure you can spend more time planning for the onboarding process.
With our Exploratory Data Analyst test, assessing your candidates on the following three critical EDA skills is easy.
With the Data Analyst test, you can evaluate your applicants on the essentials of feature engineering, including adding, deleting, combining, and mutating data. By extension, the test results show whether applicants have a concrete understanding of the business problem.
The test enables you to determine your applicants’ abilities to spot common EDA patterns or trends and transform these insights into interpretable data. As a result, you can see if your applicants can make meaningful deductions and conclusions from the data.
The test also reveals your EDA applicants’ competence translating information into visual representations, including graphs or maps. It shows you whether they can simplify the interpretation process using these data visualization methods.
TestGorilla’s data-driven approach to hiring is a major advantage of using our Data Analyst test. When you incorporate this test after sourcing applicants, you’ll notice that all EDA applicants will have a percentage that represents their skill level (out of 100%). Review these automated results before hiring, as they help build a more reliable method to hire top applicants.
Integrating our Exploratory Data Analyst test into your hiring process helps you gain the following advantages and reduce hiring complexity:
With the Exploratory Data Analyst test results, you can verify the skills your applicants cite in their cover letter or summary. That’s the beauty of our tests: You can check the results to ensure your applicants have the right statistical knowledge and that it matches the abilities they claim to have.
Looking ahead to onboarding and training, you can use the Data Analyst skills test results to your advantage. Simply consider which EDA skills your candidates have already mastered and then look at the EDA skills they’re lacking to put together the ideal onboarding and training program for your new hire.
All of us are susceptible to unconscious bias, and as recruiters, this can harm the diversity of our teams if we hire like-minded applicants. Our Exploratory Data Analyst test can help you ensure the skills related to statistics, data visualization and feature engineering are the priority. You’ll never have to be concerned that your hiring decisions may be affected by unconscious bias.
We hear you: You need to ensure your EDA candidate has the right skills for your role. The most effective way to do this is with our online Exploratory Data Analyst test. You won’t be the first to use our skills tests; you’ll join 6,000 companies such as H&M and Majorel. See why our Data Analyst online test is so popular and find many other skills tests by visiting our test library.