Data Executive
Data Executive Interview Questions and Answers
Q1. Do you know formulas in excel?
Yes, I am familiar with formulas in Excel.
I am proficient in using basic formulas such as SUM, AVERAGE, and IF statements.
I can also work with more advanced formulas like VLOOKUP, INDEX-MATCH, and CONCATENATE.
I have experience creating complex formulas to analyze data and generate reports.
I am comfortable using functions like COUNTIF, SUMIF, and IFERROR to manipulate data in Excel.
Q2. What is Secondary Research?
Secondary research involves gathering information from existing sources such as books, articles, and reports.
Secondary research is the process of collecting and analyzing data that has already been published or exists in some form.
It is often used to gain a better understanding of a topic or to support primary research findings.
Examples of secondary research sources include academic journals, government publications, and industry reports.
Secondary research can help validate p...read more
Data Executive Interview Questions and Answers for Freshers
Q3. Do you Ms office tools?
Yes, I am proficient in using MS Office tools such as Word, Excel, and PowerPoint.
Proficient in using MS Word for creating documents
Skilled in using MS Excel for data analysis and calculations
Experienced in creating presentations using MS PowerPoint
Q4. What is data executive
A data executive is a senior-level professional responsible for overseeing the management and utilization of data within an organization.
Responsible for developing data strategies and policies
Oversees data governance and compliance
Manages data analytics and reporting
Collaborates with other departments to ensure data quality and accuracy
Q5. Steps in Data preprocessing?
Data preprocessing involves cleaning, transforming, and organizing raw data before analysis.
Handling missing values by imputation or deletion
Removing duplicates
Normalization or standardization of data
Encoding categorical variables
Feature scaling
Data transformation (e.g., log transformation)
Outlier detection and removal
Q6. Write some excel formulas
Excel formulas are used to perform calculations and manipulate data in Excel spreadsheets.
Use SUM formula to add up a range of cells: =SUM(A1:A10)
Use IF formula to perform conditional calculations: =IF(A1>10, "Yes", "No")
Use VLOOKUP formula to search for a value in a table: =VLOOKUP(A1, B1:C10, 2, FALSE)
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Q7. Data validation on spss
Data validation on SPSS involves checking for accuracy, consistency, and completeness of data.
Data validation ensures that the data entered is accurate and reliable.
It involves checking for missing values, outliers, and inconsistencies in the data.
Examples of data validation techniques in SPSS include frequency checks, range checks, and logic checks.
Q8. Syntax writing on spss
Syntax writing on SPSS involves using commands to manipulate and analyze data.
SPSS syntax is written in the syntax editor within the SPSS software.
Commands are written in a specific format, such as 'MEANS' for calculating means or 'FREQUENCIES' for generating frequency tables.
Syntax can be saved and reused for future analyses, saving time and ensuring consistency.
Errors in syntax can lead to incorrect results, so it's important to double-check before running the syntax.
Exampl...read more
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