Data Analyst Interview Questions For Freshers: Data analysis is a rapidly growing field, and many freshers are eager to kickstart their careers as data analysts. However, landing that first job can be challenging, especially when it comes to acing the interview. Even after a lot of planning, sometimes it can still be difficult to face that table full of interviewers – but why worry, when you have Ze Learning Labb right by your side.
This article contains the following:
- Data Analyst Interview Questions For Freshers: Overview
- Entry Level Data Analyst Interview Questions
- Data Analyst Interview Questions For Recent Graduates
- Data Analyst Interview Tips For Freshers
50 Data Analyst Interview Questions For Freshers: Overview
Are you gearing up for your first data analyst interview? It can be a bit nerve-wracking, especially if you’re a fresher. But don’t worry, we’re here to help you navigate through the process.
We will cover some essential data analyst interview questions for freshers, entry level data analyst interview questions, data analyst interview questions for recent graduates, and provide some handy data analyst interview tips for freshers.
Entry Level Data Analyst Interview Questions
As a fresher, you can expect a range of questions designed to assess your understanding of basic data analysis concepts, your problem-solving skills, and your familiarity with the tools and techniques used in the field. Here are some data analyst interview questions for freshers:
General data analyst interview questions
- Mention the differences between Data Mining and Data Profiling.
- Define the term ‘Data Wrangling’ in Data Analytics.
- What are the various steps involved in an analytics project?
- What are the common problems that data analysts encounter during analysis?
- Which technical tools have you used for analysis and presentation purposes?
- What are the best methods for data cleaning?
- What is the significance of Exploratory Data Analysis (EDA)?
- Explain descriptive, predictive, and prescriptive analytics.
- What are the different types of sampling techniques used by data analysts?
- Describe univariate, bivariate, and multivariate analysis.
- What are your strengths and weaknesses as a data analyst?
- What are the ethical considerations of data analysis?
- What are some common data visualization tools you have used?
Data analyst interview questions on statistics
Here are data analyst interview questions for recent graduates:
- How can you handle missing values in a dataset?
- Explain the term ‘Normal Distribution’.
- What is Time Series analysis?
- How is Overfitting different from Underfitting?
- How do you treat outliers in a dataset?
- What are the different types of Hypothesis testing?
- Explain Type I and Type II errors in Statistics.
- How would you handle missing data in a dataset?
- Explain the concept of outlier detection and how you would identify outliers in a dataset.
Excel data analyst interview questions
Check out these data analyst interview questions for recent graduates:
- In Microsoft Excel, a numeric value can be treated as a text value if it precedes with what?
- What is the difference between COUNT, COUNTA, COUNTBLANK, and COUNTIF in Excel?
- How do you make a dropdown list in MS Excel?
- Can you provide a dynamic range in “Data Source” for a Pivot table?
- What is the function to find the day of the week for a particular date value?
- How does the AND() function work in Excel?
- Explain how VLOOKUP works in Excel.
- What function would you use to get the current date and time in Excel?
SQL interview questions for data analysts
Some entry level data analyst interview questions for freshers:
- How do you subset or filter data in SQL?
- What is the difference between a WHERE clause and a HAVING clause in SQL?
- Is the below SQL query correct? If not, how will you rectify it?
- How are Union, Intersect, and Except used in SQL?
- What is a Subquery in SQL?
- How do you write a stored procedure in SQL?
Tableau data analyst interview questions
For entry level data analyst interview questions on some tableau-related questions:
- How is joining different from blending in Tableau?
- What do you understand by LOD in Tableau?
- Can you discuss the process of feature selection and its importance in data analysis?
- What are the different connection types in Tableau Software?
- What are the different joins that Tableau provides?
- What is a Gantt Chart in Tableau?
- What is the difference between Treemaps and Heatmaps in Tableau?
Data analyst interview questions on python
Here are some data analyst interview questions for recent graduates:
- What is the correct syntax for the reshape() function in NumPy?
- What are the different ways to create a data frame in Pandas?
- There are two arrays, ‘a’ and ‘b’. Stack the arrays a and b horizontally using the NumPy library in Python.
- How will you print four random integers between 1 and 15 using NumPy?
- From the below DataFrame, how will you find each column’s unique values and subset the data for Age < 35 and Height > 6?
- Plot a sine graph using the NumPy and Matplotlib libraries in Python.
Data Analyst Interview Tips For Freshers
Preparing for an interview can be daunting, but these data analyst interview tips for freshers from Ze Learning Labb can help you feel more confident:
1. Review the basics
- Make sure you have a solid understanding of basic concepts like data types, statistical methods, and data visualization.
2. Practice with real data
- Use online datasets to practice cleaning, analyzing, and visualizing data. This hands-on experience is invaluable.
3. Practice technical skills
- Brush up on your Excel, SQL, Python, or R skills.
4. Practice soft skills
- Don’t neglect soft skills. Communication, problem-solving, and teamwork are crucial for data analysts.
5. Familiarize yourself with tools
- Be comfortable with tools like Excel, SQL, and at least one programming language (Python or R).
- Practice common tasks to improve your proficiency.
6. Prepare for behavioral questions
- Think about examples from your academic or internship experiences where you demonstrated problem-solving skills, teamwork, and attention to detail.
7. Review your resume
- Be ready to discuss anything you’ve listed on your resume in detail.
8. Ask questions
- Show your interest in the role and the company by preparing thoughtful questions about the team, projects, and company culture.
9. Stay calm and confident
- Interviews can be nerve-wracking but remember that it’s also an opportunity for you to learn about the company.
- Don’t forget to take deep breaths, stay calm, and answer questions to the best of your ability.
On A Final Note…
Preparing for a data analyst interview can seem overwhelming, but with the right preparation – and the timely intervention from us at ZELL, you can make a great impression. Trust us when we tell you that with these data analyst interview questions for freshers and practical tips, you’ll be well on your way to landing that entry-level data analyst position.