Online Data Interpretation Skills Test - Competency Screening Tests for Hiring Data Analysts

Data interpretation and analysis have gained increasing importance with the salience of digital communication, which has been churning out a considerable amount of data daily. According to the World Economic Forum's “A Day in Data” Report, the total amount of accumulated digital data( the data we create and copy every year) will reach 44 trillion gigabytes in 2020. Conducting successful business operations in today's digital world depends on how good the organizations have provisions for analyzing complex data, producing actionable insights, and adapting to the latest market trends. And all these tasks should be executed in milliseconds.

Data interpretation is the strategic process of analyzing data through some predetermined strategies, which will help provide meaning to the data and reach a valid logical conclusion. The process involves selecting data analysis results, making inferences from the data correlations, and using them to reach a conclusion. Therefore, data analysis is the first step towards data interpretation. So what is data analysis? Data analysis is the process of arranging, classifying, employing and compiling data to receive solutions to research problems.

However, the most dominant issue is that demand for highly-skilled data analysts is outstripping supply. There are a large number of companies that are having trouble hiring the right professionals. They need the right tools to identify high-calibre candidates, and this is where an online data interpretation test will come in handy. 

About Data Interpretation Aptitude Test

The data interpretation test is used by recruiting experts and hiring managers to assess the candidate's data interpretation skills. Experienced subject matter experts are essential in the assessment development process, playing a pivotal role in the test creation. Data analysis tests help recruiters with the critical thinking and analytical assessment of the candidate. The numerical data interpretation test and data analysis aptitude test enables recruiters to pick and choose top talent from a large applicant pool. Test-takers can take the data interpretation online test from anywhere at a convenient time.

A data interpretation aptitude test is a useful tool to screen those candidates who possess skills as given below:  

  • Strong numerical and data interpretation skills
  • Excellent quantitative modeling and analytical skills 
  • Proficiency in business analysis and data analysis
  • Well-versed in different types of data charts and information extraction

The data analysis online test helps employers identify talented candidates from an ocean of resumes, enabling them to take objective hiring decisions. The test significantly reduces the administrative overhead of assessing and interviewing too many candidates and saves ample time by screening out unqualified candidates. Sometimes also referred to as the math and data interpretation test, this online assessment is used to screen candidates for the essential DI skills employers look for in potential candidates. 

Actionable insights generated from this assessment can be used by hiring managers to identify candidates' strengths and weaknesses for the desired role. Anti-cheating and online proctoring features enable test administrators to feel at ease with conducting assessments online. The numerical data interpretation test is the perfect tool that helps employers identify which applicants have the technical expertise to perform well. The test objectively measures an individual's ability to evaluate data, perform calculations, and draw the appropriate conclusions.

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Why should you use Mercer | Mettl's online data interpretation test?

Mercer | Mettl's data interpretation skills test is designed to assess a candidate/ test-taker’s ability to perform analysis and recognize patterns or trends in a given data set. The test assesses candidates on questions that require them to analyze the information presented in the form of text/table/graphs. It also evaluates the ability to work with data in graphical and tabular format to make essential business decisions and analyze its impact on how right a commercial decision is.

Use this test for:

The data interpretation skills test finds its most effective use in screening and hiring candidates with 0-2 years of experience in jobs, such as business analytics, research projects, business strategy roles, etc.

Test Details:

Number of sections


Number of questions


Test duration

35 minutes

Test language


This data interpretation test is useful for hiring:

  • Associate Data Scientist / Data Scientist
  • Associate Data Analyst / Data Analyst
  • Associate Business Analyst / Business Analyst
  • Research Associates / Research Managers

NOTE: If required, the test can be offered in other languages as well. Please write to us for any such requirement.

Answer to common queries:

What is data interpretation?

Data interpretation is the ability to collect, analyze, and scrutinize data and take vital business decisions based on the commercials involved. It is the ability to structure observations and recognize trends from different sources of data.

How can one improve data interpretation skills?

Data interpretation can be improved by familiarizing oneself with graphs, charts, and tables. It is also helpful if large chunks of information are taken and then deconstructed to understand what the data is trying to present. For more information on how to improve data interpretation skills, please write to us.

What is a  data interpretation(DI) test?

A data interpretation test is used extensively across various job sectors and recruiting processes. These tests are mainly designed to evaluate a person's critical ability and numerical data interpretation skills, including questions based on graphs, charts, and tables.

What is a data analysis test?

The data analysis test assesses a candidate's ability to analyze and identify patterns or trends in a given data set.

What are the elements of data analysis?

Given below are the core elements of data analysis:

  • code
  • code comments
  • non-data visualization
  • data visualization
  • summary statistics
  • narrative text
  • tables
  • computational algorithms/statistical models

What can data analysis be used for?

Data analysis can enable organizations to understand their customers in a much better way, helping them measure the effectiveness of their campaigns, create content strategies, and develop products from a data-driven perspective. Undoubtedly, companies can leverage data analytics to maximize business performance and Ultimately, businesses can use data analytics to boost business performance and experience their bottom-line growth.

What are data analysis tools?

Data analysis tools help users process and manipulate data, identify the correlations and link between data sets, and analyze trends and patterns for interpretation.

Listed below are useful data analysis tools:

  • Microsoft Power BI
  • HubSpot
  • Xplenty
  • Tableau Public
  • Rapid Miner
  • OpenRefine
  • Orange

What are data analysis methods?

Given below are some of the most useful methods of data analysis. 

  • Monte Carlo simulation
  • Regression analysis
  • Cohort analysis
  • Factor analysis
  • Time series analysis
  • Cluster analysis
  • Sentiment analysis

How do you learn data analysis?

Aspirants should make it a point to learn some of the essential data analysis tools such as Python, SQL, R, Microsoft Excel, etc. There are plenty of online courses and certifications available to gain mastery of such subjects.

How is data mining used in data analysis?

Data mining includes researching and analyzing large chunks of information to obtain consequential patterns and trends. It can be used for different purposes, such as credit risk management, database marketing, spam Email filtering, fraud detection, or even sentiment discernment.

What are the responsibilities of a data analyst?

A data analyst examines the crucial aspects of information using data analysis tools. The substantial results they extract from the raw data enable clients or employers to make well-informed decisions by discovering various trends and facts. Some of the critical responsibilities of a data analyst are as follows:

  • leveraging advanced computerized models pull out data  
  • weeding out corrupted data
  • conducting an initial analysis to measure data quality
  • performing a subsequent study to interpret the meaning of the data
  • performing concluding analysis to provide further data screening
  • preparing analytical reports and presenting  to senior executives 

What are some commonly asked data analysis interview questions?

Here are some of the most popular questions asked during a data analysis interview:

  • Why did you choose this career?
  • What is your preferred area to work in, and why?
  • Which data analyst software are you skilled in?
  • What was the most challenging data analysis project you have undertaken?
  • Can you explain how you would figure out how many shoes could be sold in London each July?
  • What are your communication strengths?
  • How do you deal with work stress and deadlines?
  • What are your long-range career objectives?
  • What makes you the ideal candidate for this position?
  • Do you have any questions for us?

How do you analyze and interpret data?

There are crucial steps in the data interpretation process, as listed below:

  • Begin with a well-defined problem
  • Define measurement priorities - it breaks down into two sub-steps: a) determining what to measure  b) planning how to measure it
  • Collect new data
  • Perform data analysis
  • Interpret the results from the analysis

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How it works:

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step 2

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step 3

Candidate take the tests

step 4

You get their tests report

Note You will be charged only at step 3. i.e. only when candidate start the test.

Relevant for Industries

  • IT
  • ITeS
  • Banking & finance
  • Insurance
  • FMCG
  • Manufacturing

Related Tags

Data Sciences Marketing