Why you should use Data Analytics in Excel Test?

The Data Analytics in Excel Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects: Demonstrate proficiency in using Excel functions for data analysis Create and format charts and graphs in Excel to visually represent data Interpret data to identify trends, patterns, and insights Apply data analysis fundamentals to solve business problems Utilize advanced Excel features for data manipulation and cleansing Demonstrate expertise in creating and sharing reports in Excel Employ data visualization techniques to effectively communicate findings Perform advanced data calculations using Excel formulas and functions Apply statistical analysis methods to interpret data accurately Demonstrate proficiency in using pivot tables for data analysis

Data Analytics in Excel Test

Q: What topics are covered in the Data Analytics in Excel Test?

Data Interpretation Excel functions Charts and Graphs in Excel Data Analysis fundamentals Creating and sharing reports

About the test:

The Data Analytics in Excel test evaluates a candidate's ability to use Excel for data analysis and interpretation. It covers topics such as data manipulation, functions, formulas, charts, and data visualization using Excel. The test also includes scenario-based multiple-choice questions to assess problem-solving skills and critical thinking in a business context.

Covered skills:

Data Interpretation
Charts and Graphs in Excel
Creating and sharing reports

Excel functions
Data Analysis fundamentals

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9 reasons why

Adaface Data Analytics in Excel Assessment Test is the most accurate way to shortlist Data Analysts

Reason #1

Tests for on-the-job skills

The Data Analytics in Excel Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Efficiently analyze and interpret complex data sets
Apply advanced Excel functions to perform data analysis
Create visually appealing charts and graphs to present data
Demonstrate proficiency in fundamental data analysis techniques
Generate accurate and informative reports using Excel
Effectively share and communicate findings from data analysis
Utilize Excel formulas and functions to manipulate and transform data
Apply statistical analysis methods to draw meaningful insights
Perform data cleansing and preprocessing tasks in Excel
Interpret trends and patterns in data for decision-making

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

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The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 10,000+ questions. The actual questions on this Data Analytics in Excel Test will be non-googleable.

🧐 Question
Medium MATCH INDEX LOOKUP	Solve
Some friends live in adjacent apartments in a building in Central Perk, New York. We want to write a function to search the apartment number by name. Which of the following functions should we use?
Medium Organization data Data transformation	Solve
We have two Excel files with organization data. One file has Organization ID and Organization Name fields, whereas the second file has Organization ID, Organization Name and Country fields. We wrote a query to retrieve the data from both files. Here’s a sample of the data retrieved: We want to ensure Organization ID field is unique. Which of the following is the ideal solution that ensures Organization ID field is unique while retaining Country data? A: Select the Organization ID and Country columns, and then click Keep Duplicates. B: Select the Organization ID and Country columns, and then click Remove Duplicates. C: Use Group BY function to group the rows by Organization ID. Specify output columns for Organization Name and Country using MAX operation. D: Select Organization ID column and then click Remove Duplicates. Then specify output columns for Country using MAX operation.
Medium Student scores Data formatting	Solve
Here’s a sample Excel data source: Here’s the expected data format: Which of the following is the correct way to transform the data from the query editor to achieve the result? A: Columns to Select: Student Only B: Columns to Select: Student and Student ID C: Columns to Select: Primary and Secondary D: Command to Use: Pivot Column E: Command to Use: Reverse Rows F: Command to Use: Unpivot Columns
Medium VLOOKUP blood donor	Solve
We are looking to find the contact number of the only blood donor with blood group O-. Which function should we use to look up the correct contact number? Here's the documentation for VLOOKUP: =VLOOKUP(lookup value, range containing the lookup value, the column number in the range containing the return value, Approximate match (TRUE) or Exact match (FALSE)). A: =VLOOKUP("O-", A1:E10, 3, TRUE) B: =VLOOKUP("O-", A1:E10, 3, FALSE) C: =VLOOKUP("O-", D1:D10, 4) D: =VLOOKUP("O-", D1:D10, 3) E: =VLOOKUP("O-", A1:E10, 4, TRUE) F: =VLOOKUP("O-", A1:E10, 4, FALSE) G: =VLOOKUP("Kane", A1:E10, 4)
Medium Hiring Developer Skewed Data Graph	Solve
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
Medium Negative correlation	Solve
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill
	Medium MATCH INDEX LOOKUP	2 mins Excel	Solve
Some friends live in adjacent apartments in a building in Central Perk, New York. We want to write a function to search the apartment number by name. Which of the following functions should we use?
	Medium Organization data Data transformation	3 mins Excel	Solve
We have two Excel files with organization data. One file has Organization ID and Organization Name fields, whereas the second file has Organization ID, Organization Name and Country fields. We wrote a query to retrieve the data from both files. Here’s a sample of the data retrieved: We want to ensure Organization ID field is unique. Which of the following is the ideal solution that ensures Organization ID field is unique while retaining Country data? A: Select the Organization ID and Country columns, and then click Keep Duplicates. B: Select the Organization ID and Country columns, and then click Remove Duplicates. C: Use Group BY function to group the rows by Organization ID. Specify output columns for Organization Name and Country using MAX operation. D: Select Organization ID column and then click Remove Duplicates. Then specify output columns for Country using MAX operation.
	Medium Student scores Data formatting	2 mins Excel	Solve
Here’s a sample Excel data source: Here’s the expected data format: Which of the following is the correct way to transform the data from the query editor to achieve the result? A: Columns to Select: Student Only B: Columns to Select: Student and Student ID C: Columns to Select: Primary and Secondary D: Command to Use: Pivot Column E: Command to Use: Reverse Rows F: Command to Use: Unpivot Columns
	Medium VLOOKUP blood donor	2 mins Excel	Solve
We are looking to find the contact number of the only blood donor with blood group O-. Which function should we use to look up the correct contact number? Here's the documentation for VLOOKUP: =VLOOKUP(lookup value, range containing the lookup value, the column number in the range containing the return value, Approximate match (TRUE) or Exact match (FALSE)). A: =VLOOKUP("O-", A1:E10, 3, TRUE) B: =VLOOKUP("O-", A1:E10, 3, FALSE) C: =VLOOKUP("O-", D1:D10, 4) D: =VLOOKUP("O-", D1:D10, 3) E: =VLOOKUP("O-", A1:E10, 4, TRUE) F: =VLOOKUP("O-", A1:E10, 4, FALSE) G: =VLOOKUP("Kane", A1:E10, 4)
	Medium Hiring Developer Skewed Data Graph	3 mins Data Analysis	Solve
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Medium Negative correlation	2 mins Data Analysis	Solve
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	MATCH INDEX LOOKUP	Excel	Medium	2 mins	Solve
Some friends live in adjacent apartments in a building in Central Perk, New York. We want to write a function to search the apartment number by name. Which of the following functions should we use?
	Organization data Data transformation	Excel	Medium	3 mins	Solve
We have two Excel files with organization data. One file has Organization ID and Organization Name fields, whereas the second file has Organization ID, Organization Name and Country fields. We wrote a query to retrieve the data from both files. Here’s a sample of the data retrieved: We want to ensure Organization ID field is unique. Which of the following is the ideal solution that ensures Organization ID field is unique while retaining Country data? A: Select the Organization ID and Country columns, and then click Keep Duplicates. B: Select the Organization ID and Country columns, and then click Remove Duplicates. C: Use Group BY function to group the rows by Organization ID. Specify output columns for Organization Name and Country using MAX operation. D: Select Organization ID column and then click Remove Duplicates. Then specify output columns for Country using MAX operation.
	Student scores Data formatting	Excel	Medium	2 mins	Solve
Here’s a sample Excel data source: Here’s the expected data format: Which of the following is the correct way to transform the data from the query editor to achieve the result? A: Columns to Select: Student Only B: Columns to Select: Student and Student ID C: Columns to Select: Primary and Secondary D: Command to Use: Pivot Column E: Command to Use: Reverse Rows F: Command to Use: Unpivot Columns
	VLOOKUP blood donor	Excel	Medium	2 mins	Solve
We are looking to find the contact number of the only blood donor with blood group O-. Which function should we use to look up the correct contact number? Here's the documentation for VLOOKUP: =VLOOKUP(lookup value, range containing the lookup value, the column number in the range containing the return value, Approximate match (TRUE) or Exact match (FALSE)). A: =VLOOKUP("O-", A1:E10, 3, TRUE) B: =VLOOKUP("O-", A1:E10, 3, FALSE) C: =VLOOKUP("O-", D1:D10, 4) D: =VLOOKUP("O-", D1:D10, 3) E: =VLOOKUP("O-", A1:E10, 4, TRUE) F: =VLOOKUP("O-", A1:E10, 4, FALSE) G: =VLOOKUP("Kane", A1:E10, 4)
	Hiring Developer Skewed Data Graph	Data Analysis	Medium	3 mins	Solve
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Negative correlation	Data Analysis	Medium	2 mins	Solve
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

Reason #4

1200+ customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Data Analytics in Excel Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Data Analytics in Excel Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

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About the Data Analytics in Excel Online Test

Why you should use Pre-employment Data Analytics in Excel Test?

The Data Analytics in Excel Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Demonstrate proficiency in using Excel functions for data analysis
Create and format charts and graphs in Excel to visually represent data
Interpret data to identify trends, patterns, and insights
Apply data analysis fundamentals to solve business problems
Utilize advanced Excel features for data manipulation and cleansing
Demonstrate expertise in creating and sharing reports in Excel
Employ data visualization techniques to effectively communicate findings
Perform advanced data calculations using Excel formulas and functions
Apply statistical analysis methods to interpret data accurately
Demonstrate proficiency in using pivot tables for data analysis

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Data Analytics in Excel Test?

Data Interpretation:
Data interpretation involves analyzing and making sense of data to extract meaningful insights. This skill is crucial in today's data-driven world as it allows decision-makers to understand and derive valuable information from large datasets.
Excel functions:
Excel functions refer to a wide range of built-in formulas that enable users to perform complex calculations, manipulate and transform data. Understanding and assessing this skill is important as it demonstrates a candidate's ability to effectively utilize Excel's functionality for data analysis and problem-solving.
Charts and Graphs in Excel:
Creating charts and graphs in Excel helps visually represent data, making it easier to comprehend and analyze patterns, trends, and relationships. Testing this skill ensures that candidates possess the ability to present data in a visually appealing and informative manner.
Data Analysis fundamentals:
Data analysis fundamentals encompass various techniques and methodologies employed to interpret and draw meaningful conclusions from data. Assessing this skill is important as it demonstrates a candidate's understanding of core data analysis techniques, such as summarizing, organizing, and visualizing data.
Creating and sharing reports:
Creating and sharing reports involves compiling data, generating meaningful insights, and presenting them in a comprehensive manner. Evaluating this skill is crucial as it showcases a candidate's ability to communicate findings effectively and efficiently, enabling informed decision-making based on data-driven insights.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Data Analytics in Excel Test to be based on.
Data validation
Conditional formatting
Pivot tables
VLOOKUP function
HLOOKUP function
SUMIFS function
COUNTIFS function
Formulas and functions
Chart types
Trend analysis
Slicers
Data sorting
Data filtering
Power Query
Statistical functions
Histograms
Histogram analysis
Regression analysis
Data visualization
Data summarization
Data interpretation
Scenario analysis
Data manipulation
Data formatting
Data aggregation
Data modeling
Data presentation
Data sharing
Report generation
Report formatting

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What roles can I use the Data Analytics in Excel Test for?

Data Analyst
Business Analyst
Financial Analyst
Business Intelligence Analyst
Data Scientist
Data Engineer
Data Architect
Business Consultant
Financial Consultant
Market Research Analyst

How is the Data Analytics in Excel Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Utilize advanced Excel features for automation and efficiency
Effectively use Excel's data validation and conditional formatting features
Apply data filtering techniques to extract relevant information
Demonstrate understanding of data cleaning and data transformation processes
Utilize Excel's data modeling capabilities to analyze complex datasets
Demonstrate expertise in using lookup functions for data analysis
Apply statistical functions in Excel to derive meaningful insights
Utilize Excel's regression analysis capabilities for data modeling
Demonstrate proficiency in using Excel's what-if analysis tools
Apply advanced data visualization techniques using Excel

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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

85%

reduction in screening time

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Data Analytics in Excel Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

Non-googleable questions
IP proctoring
Screen proctoring
Web proctoring
Webcam proctoring
Plagiarism detection
Secure browser
Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.