Data analysis technologies and processes are widely used in commercial and industrial aspects, enabling organizations to make more data-centric decisions. R is a standard language for performing data analysis and statistical operations. It is an essential tool for data analysts, enabling them to perform data analysis and visualization with incredible ease.
A critical approach employed in data analytics using R is called exploratory data analysis, which is all about summarization and visualization of data sets. The concept, introduced by John Tukey, focuses on analyzing basic data structures and variables to enhance understanding of the data set, understand how the data originated, and what statistical analysis approach would be suitable for data analysis.
What is R?
R is a programming language and environment adapted by statistical experts for data analysis and developing statistical software. Even though there are different data analysis software like Python, analyzing data using R is a whole new ball game. A data analyst evaluating data using R would give written commands to the software to go about it. However, the best thing about using R is that it enables the analysts to collect large data sets, add multiple commands, and synchronously optimize all the commands together.
What makes R indispensable in data analysis is its ability to process a large number of commands collectively. It autosaves all the data and work progress and allows analysts to correct minor mistakes quickly. They do not have a hard time shuffling through different commands to backtrace their steps and eventually find and fix the error. R is available for download for these platforms: Windows, Linux, Unix, or OS X.
What is a data analyst test?
Data analysts perform quantitative testing that converts data into applicable insights and offers data-driven analytical support for critical projects. A data analyst who is well versed in R should be a data visualization expert and can pull out and utilize that data. The data analyst assessment test helps you in evaluating:
Are you looking for a customised version of this test. Or looking to get a new test build according to your requirements from scratch? Reach out to our subject matter experts and discuss the same.
Why should you use Mercer| Mettl’s data analyst assessment?
Mercer | Mettl's data analyst (with proficiency in R) test is a well-thought-out offering catering to the level of skills that a beginner to moderately experienced data analyst would be supposed to possess. The method of gauging candidates’ expertise through Mettl assessments is your best bet for securing the best professionals with exceptional analytical and data interpretation skills for the data analyst's role.
Key profiles the test is useful for:
|Number of Sections||5|
|Number of Questions||20|
|Test Duration||60 Minutes|
|Number of MCA/MCQ questions based on SQL Server Basics||5|
|Number of MCA/MCQ questions based on R||4|
|Number of MCA/MCQ questions based on R Packages||9|
|Number of database query writing questions that intend to assess the query writing skills in MS SQL Server||1|
|Number of hands-on programming questions that intend to evaluate the data analyzing skills in R Programming||1|
Candidates with a work experience of 1-3 years are eligible to appear for the data analyst skills test
Difficulty level: Moderate
Can candidates be benchmarked based on the internal sample set?
Yes, at Mettl, it can be done. Should you need any further information, please write to us, and we will be happy to assist you.
Is it possible to customize the report as per the need?
Yes, we can do it. We have already done it in the past for our clients. Should you need any further information, please write to us, and we will be happy to find the best solution for you.
What is a data analyst assessment?
This exam measures the candidates’ abilities to extract information by analyzing data and suggesting possible outcomes and their proficiency in using R. The data analysis online test is essentially used for pre-employment screening. Data analysts who use R for their daily work should know how to leverage the functionality given by R Packages to unveil powerful insights from data.
How to hire the best data analysts?
You can follow these simple steps to hire data analysts:
1) Write a well-thought-out job description
A well-explained job description can strike a responsive chord with data analyst aspirants. A thorough data analyst JD includes a well-written summary of the role, a list of responsibilities, and the required skills. You can have keywords that job seekers use to search for these jobs, such as:
2) Pre-employment testing to assess data analysis skills and filter out ineligible candidates
A data analysis test is a form of a psychometric test prepared by subject matter experts to understand and assess a candidate's expertise in analyzing high-level quantitative data. The test outcome reveals how well the candidate will perform in the actual job.
3) Interviewing candidates for data analyst positions
Potential candidates for these positions will be optimistic answering data analyst interview questions regarding:
What are the essential skills for data analysts?
Listed below are some must-have skills for data analysts:
What jobs can a data analyst do?
The answer to this question varies based on the type of company and the level to which an enterprise has adopted data-driven practices for making decisions. However, the responsibilities of an analyst usually include the following:
Are data analysts in demand?
The demand for data analysts is at an all-time high, as stated by the World Economic Forum, highlighting that data analytics is among the top ten careers in 2020 and beyond.
Is data analytics the future?
Data analytics is undergoing continuous evolution; it all began with descriptive analytics. Now, we reached that stage where analytics can determine future outcomes through predictive analytics. The advent of technologies such as AI, ML, IoT, and cloud computing has enabled analytics to perform even more demanding operations. With the continuously evolving technology comes far more exciting forms of analytics that can make the impossible possible.
What are the interview questions for data analysts?
After passing a data analyst test for interviews, candidates often grapple with the issue of what questions to look forward to and how to answer those. Even though interviews are a bit scary, you must be well-prepared to keep stress and nervousness at bay. Given below are some commonly asked interview questions :
What are the different types of data analysis?
There are four types of data analysis
Is data analysis a soft skill?
It would be wrong to assume that data analysis is a soft skill when it's a blend of hard skills(data analytics)and soft skills(business metrics)
What are the strengths of a data analyst?
Most people often think that what separates a good data analyst from a bad one. Are there some specific attributes, qualities, and traits that can make someone a competent analyst? If so, is there a way to imbibe these personal skills and put these into practice? The answer to these questions is quite simple. Given below are some habits that one can master to achieve great success in their endeavor:
Do data analysts code?
Data analysts don't need to have exceptional coding skills, but they must be well-versed in data visualization software, analytics software, and data management processes. Data analysts should also have strong communication skills because they have to work with teams with different technical knowledge levels.
Add this test to your tests
Share test link from your tests
Candidate take the tests
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