Contact usLogin
Contact usLogin
Core Corporate Functions>Data Analyst (Using R) Test

Data Analyst (R) Test to assess R language skills and data analysis proficiency

The Data Analyst (R Proficiency) Assessment is an online technical evaluation designed considering the specific requirements of employers and recruiters. Its primary purpose is to assess candidates' proficiency in the R programming language and their ability in data analysis. This in-depth screening tool helps to identify candidates capable of handling complex data-related tasks, enabling recruiters to make well-informed hiring choices, especially for positions like business analysts, data scientists, data analysts, and data visualization experts. 


Trusted By:

Inside this Data Analyst (Using R) Assessment

The Data Analyst Hiring Assessment is a comprehensive tool for evaluating candidates' proficiency in R programming, libraries, and data analysis skills. This extensive evaluation covers crucial R competencies, including functions, general R knowledge, performance, data prediction, data manipulation, indexing, subsetting data frames, and filtering. It further delves into crucial aspects of R libraries such as dplyr, ggplot2, tidyr, and Boxplot. 

In addition to these assessments, a hands-on programming challenge allows candidates to exhibit their R programming abilities using a programming simulator. Adopting this practical approach could help ensure that candidates possess expertise in theory and hands-on application and are well-prepared for real-world data analysis scenarios. 

With the Data Analyst R Programming Test, recruiters can make informed hiring decisions and identify data analysts who excel at handling complex data analysis tasks. It helps assess candidates' suitability for roles such as Data Analyst - R and Data Engineer - R. 


In the current global job market, there is a significant demand for proficient data analysts with expertise in R programming spanning various industries. Businesses heavily reliant on data depend on these analysts to uncover valuable insights, facilitating well-informed decision-making. Data analysts' specific roles and key responsibilities may vary slightly based on industry, organization, and department factors. 

Even aspiring data analysts and researchers need to have a comprehensive grasp of the entire spectrum of data-related tasks, from importing and cleaning data to manipulating and visualizing it in R. Proficiency in R, along with familiarity with popular packages like GGPLOT2 and DPLYR, is essential. Furthermore, data analysts are renowned for their statistical understanding, particularly in hypothesis testing, data manipulation, and exploratory data analysis (EDA), as they work with critical datasets. 

However, the increased demand for top-tier data analyst talent has heightened employers' concerns about filling these positions. Identifying high-quality candidates in a competitive job market presents its own set of challenges. Additionally, talent assessment can be arduous, as each organization possesses unique talent requirements adapted to meet its unique business objectives. 

A pragmatic approach to assessing a candidate's suitability for the role involves incorporating the Data Analyst (with R) Test into the hiring process. This online screening method enables hiring managers to evaluate how closely a candidate's skills align with the organization's needs and readiness for the job. 

As candidates progress through the vetting process with the Data Analysis Test, employers can have confidence that the selected individuals meet the required standards in terms of skills, competencies, and experience. Furthermore, the assessment result reports offer comprehensive insights into each examinee's performance, providing a deeper understanding of their potential fit for the role. 

A realistic approach to evaluating a candidate's fitness for the role requires integrating the Data Analyst using the R Test into the hiring process. This convenient screening method allows hiring managers to gauge the alignment of a candidate's skills with the organization's needs and job suitability.





Data Analyst (using R) Assessment Competency Framework

Get a detailed look inside the test

Data Analyst Competencies Under Scanner

Data Analyst Hiring Test


R Programming

This test section consists of questions about various R skills, including functions, basic knowledge, performance, data prediction, data handling, data frame indexing, subsetting, and filtering.

R Libraries

This section includes questions based on dplyr, ggplot2, tidyr, and Boxplot.

Hands-on Programming

It comprises a coding question in R that candidates complete using a programming simulator.

Customize This Data Analyst Skills Test

Flexible customization options to suit your needs

Set difficulty level of test

Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

Combine multiple skills into one test

Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.

Add your own questions to the test

Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.

Request a tailor-made test

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

The Mercer | Mettl Data Analyst Assessment Test Advantage

The Mercer | Mettl Edge
  • Industry Leading 24/7 Support
  • State of the art examination platform
  • Inbuilt Cutting Edge AI-Driven Proctoring
  • Simulators designed by developers
  • Tests Tailored to Your business needs
  • Support for 20+ Languages in 80+ Countries Globally

Data Analyst Hiring Test Can Be Setup in 4 Steps

Step 1: Add test

Add this test your tests

Step 2: Share link

Share test link from your tests

Step 3: Test View

Candidate take the test

Step 4: Insightful Report

You get their tests report

Our Customers Vouch for Our Quality and Service

Frequently Asked Questions (FAQs)

The Data Analyst (Using R) Test developed by Mercer | Mettl is designed to assess candidates' proficiency in data analysis, deriving valuable insights from data sets, and expertise in the R programming language. It serves as an essential screening instrument for streamlining hiring. 

Data analysts are expected to have the following fundamental proficiencies: 

• Proficiency in statistical programming using R or Python 

• Aptitude for data visualization 

• Well-developed critical thinking abilities 

• Familiarity with SQL 

• Understanding of machine learning 

• Proficiency in Microsoft Excel 

• Strong presentation skills 

Streamlining the process of acquiring top data analysts can be achieved by adhering to these essential steps: 

Develop a Comprehensive Job Description: 

Initiate the recruitment process with a well-crafted job description that offers a detailed and informative overview of the role, associated responsibilities, and required skills. Incorporating commonly searched keywords like "Business Analyst," "Financial Analyst," and "Data Analyst" can enhance the visibility of the job posting. 

Utilize Pre-Employment Testing to Evaluate Data Analysis Proficiency: 

Incorporate a Data Analysis (Using R) Test, expertly designed by subject matter specialists, to assess a candidate's proficiency in advanced quantitative data analysis. This test provides valuable insights into a candidate's potential to excel in the role, assisting in identifying the most promising candidates. 

Conduct Tailored Interviews for Data Analyst Roles: 

Customize your interview process to align with the specific requirements of data analyst positions.  


Trusted by more than 6000 clients worldwide

Knowledge Hub
Call us

Invited for Test?

Take test


2024 Mercer LLC, All Rights Reserved

Terms of Services

Privacy Notice


GDPR Ready