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Identifying the right talent from the huge pool of candidates and evaluating their skills to ensure the right match is one of the key challenges of recruiters. The hiring task is even more challenging when it comes to job profiles like data analyst where candidates need to have the technical expertise and cognitive skills required for data analysis. Needless to say, the candidates should also have domain knowledge, so they are able to better interpret the data to find the right information, trends and solutions.

MeritTrac’s data analyst aptitude test can help recruiters in selecting the right candidates for data analyst roles. Our aptitude tests are designed by a team of educators, statisticians, psychometricians and subject matter experts. You can customise the test based on the skill sets and domain expertise that are required for the job role.

Sample Data Analyst Aptitude Questions

  1. What is the difference between a parameter and a statistic?
  2. How would you determine whether a set of data is normally distributed?
  3. Describe the difference between correlation and causation.
  4. What is the difference between a clustered and a non-clustered index?
  5. How would you approach solving a problem where you have missing data?
  6. Explain what is meant by overfitting and how it can be prevented.
  7. What is the difference between supervised and unsupervised learning?
  8. How would you use a hypothesis test to determine whether a new marketing campaign was effective in increasing sales?
  9. What is a database, and how is it different from a spreadsheet?
  10. What is data cleansing, and why is it an essential step in data analysis?

Essential Skills of a Data Analyst

The major skill sets that a data analyst should have are analytical skills, technical skills, programming skills, mathematical skills and communication skills.

Analytical skills

The job profile of a data analyst involves data analysis and interpretation. So, it is important for the candidate to have strong analytical skills to analyse information and identify trends and patterns.

Mathematical skills

Knowledge of mathematics, statistics and calculus is very important for data analysts. As the data analytics tools and technologies are based on mathematical concepts, a strong foundation in mathematics will help them work on complex algorithms and programs required for data analytics.

Technical Skills

Candidates aspiring to become data analysts should have knowledge and expertise of constructing predictive models, data wrangling and manipulation, data mining, data modelling and data visualisation. They should also know how to leverage data analytics tools and have advanced excel knowledge. Knowledge of Machine Learning and Artificial Intelligence will be useful.

Programming Skills

Data analysts must have working knowledge of programming languages like Java, R, Python, C++. SQL, etc.

Communication and Presentation Skills

Data analysts not only have to analyse data but also need to present the information obtained using data visualisation techniques to key decision-makers and stakeholders. It calls for strong communication and presentation skills. Data analysts should also have strong verbal skills for documentation and reporting.

Applications of Data Analyst Aptitude Tests

MeritTrac's data analytics aptitude test is scientifically designed to precisely assess a candidates’ skills according to the job roles. These tests can be used for recruitment and training. MeritTrac’s online assessment tests make it easy for recruiters to filter out the right talent during large-volume hiring and campus hiring. These tests can also be used for lateral hiring. Our assessment solutions can also help in identifying skill gaps in the workforce. Based on the results of aptitude tests, the training team can come up with appropriate training programs.

MeritTrac Platforms for Data Analyst Aptitude Tests

MeritTrac’s data analysis aptitude test platforms are designed for easy and efficient test management. The user-friendly interface of the platforms allow recruiters to easily administer the tests and candidates to take up the test from anywhere without any hassle. Our aptitude assessment platforms are as follows:


With more than 10,000 assessments tests in different domains, SmartTest is the perfect platform for administering aptitude tests for data analysts. Our tests can be customised as per the job profile or the proposed training program. The plug-and-play feature enables it to be used with any device. The accurate reports and analytics will let the recruiters make informed decisions without any personal bias.

The unique features of this assessment platform are:

  • Great user experience
  • Performance benchmarking
  • Customised test catalogues
  • Simplified test delivery
  • Assured security
  • Reduced time 


It is a performance-based coding platform that can be used to evaluate a candidate’s knowledge and expertise in programming languages.

The features of this assessment platform are:

  • Unified assessment platform
  • Auto evaluation
  • All-inclusive software
  • Extensive programming language library
  • Uniform coding structure
  • Project-based testing



1. How can software development aptitude test help in recruitment?

A. Recruiters can use this test to gauge candidates’ potential to learn and perform in the specific software job role they are applying at a company. It helps filter out unsuitable candidates and select the right candidates.

2. What other skills are tested by a software development aptitude test?

A. Apart from competency in the software concepts and programming knowledge, a software development aptitude test also measures reasoning, problem-solving abilities, quantitative aptitude and structured approach that are considered important for software professionals to possess.

3. How do software development aptitude tests benefit the recruitment process?

A. During campus hiring and lateral recruitment, by administering software development aptitude tests recruiters can quickly segregate the candidates with the required skill sets from the unsuitable ones. It helps them focus their time and attention on qualified candidates, thereby bringing down the time, effort and cost of recruitment.

4. What are the USPs of MeritTrac’s CodeTrac assessment platform?

A. CodeTrac is a unified assessment platform that allows for a full-stack software development assessment right from building, compiling and testing stages with project-based testing rather than standalone programs. The platform comes with an extensive programming language library. The auto-evaluation feature delivers quick and reliable results.