Infosys Data Analyst Interview Questions + Guide in 2024

Infosys is a global leader in next-generation digital services and consulting, enabling organizations in over 50 countries to navigate digital transformations. With four decades of experience managing global enterprises’ systems and operations, Infosys is at the forefront of the digital journey, offering AI-powered solutions and agile digital capabilities.

Transitioning into the role of a Data Analyst at Infosys means you will be instrumental in productionizing machine learning models and architecting end-to-end Data Science solutions. The comprehensive interview process typically includes multiple technical and HR rounds. Candidates are expected to demonstrate SQL, Python, data analysis, machine learning, and problem-solving skills.

If you are preparing for this pivotal role, Interview Query will guide you through the interview stages, commonly asked Infosys data analyst interview questions, and essential preparation tips to help you succeed.

The interview process usually depends on the role and seniority; however, you can expect the following on an Infosys data analyst interview:

Recruiter/Hiring Manager Call Screening

If your CV is among the shortlisted few, a recruiter from the Infosys Talent Acquisition Team will contact you and verify key details like your experiences and skill level. Behavioral questions may also be part of the screening process.

Sometimes, the Infosys Data Analyst hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will invite you to the technical screening round. Technical screening for the Infosys Data Analyst role is usually conducted through virtual means, including video conferences and screen sharing. Questions in this one-hour interview stage may revolve around Infosys’ data systems, ETL pipelines, and SQL queries.

In the case of data analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. In addition, your proficiency in hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Case studies and similar real-scenario problems may also be assigned depending on the position’s seniority.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds will be conducted during your day at the Infosys office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Analyst role at Infosys.

Typically, interviews at Infosys vary by role and team, but commonly, Data Analyst interviews follow a fairly standardized process across these question topics.

1. Write a SQL query to select the 2nd highest salary in the engineering department.

Write an SQL query to select the second-highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

2. Write a function to find the maximum number in a list of integers.

Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None.

3. Create a function convert_to_bst to convert a sorted list into a balanced binary tree.

Given a sorted list, create a function convert_to_bst that converts the list into a balanced binary tree. The output binary tree should be balanced, meaning the height difference between the left and right subtree of all the nodes should be at most one.

4. Write a function to simulate drawing balls from a jar.

Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

5. Develop a function can_shift to determine if one string can be shifted to become another.

Given two strings A and B, write a function can_shift to return whether or not A can be shifted some number of places to get B.

6. What are the drawbacks of organizing student test scores in the given layouts?

Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in “messy” datasets.

7. How would you locate a mouse in a 4x4 grid using the fewest scans?

You have a 4x4 grid with a mouse trapped in one of the cells. You can scan subsets of cells to know if the mouse is within that subset. Describe a strategy to find the mouse using the fewest number of scans.

8. How would you select Dashers for Doordash deliveries in NYC and Charlotte?

Doordash is launching delivery services in New York City and Charlotte. Describe the process for selecting Dashers (delivery drivers) and discuss whether the criteria for selection should be the same for both cities.

9. What factors could bias Jetco’s study on-boarding times?

According to a study, Jetco, a new airline, has the fastest average boarding times. Identify potential factors that could have biased this result and what you would investigate further.

10. How would you design an A/B test to evaluate a pricing increase for a B2B SAAS company?

A B2B SAAS company wants to test different subscription pricing levels. Describe how you would design a two-week-long A/B test to evaluate a pricing increase and determine if it is a good business decision.

11. How would you choose the k value when using k-means clustering?

When using k-means clustering, how would you determine the optimal number of clusters (k)?

12. How would you explain a p-value to someone who is not technical?

Explain the concept of a p-value in simple terms to someone without a technical background. Use an analogy or straightforward language to make it understandable.

13. What is the difference between covariance and correlation? Provide an example.

Describe the difference between covariance and correlation, and provide an example to illustrate the concepts.

To help you succeed in your Infosys data analyst interviews, consider these tips based on interview experiences:

Quick Tips For Infosys Data Analyst Interviews

1. Vary Your Preparation: Prepare for a mix of SQL questions, advanced window functions, and real-time use cases. Brush up on Python and Machine Learning basics to stay prepared.

2. Understand Company Culture: Ensure you understand Infosys’ business model and culture. Prepare behavioral questions that will highlight your fit into the organization.

3. Practice Technical Questions: Utilize Interview Query to practice common technical questions, focusing on SQL, data visualization tools, and data analysis concepts.

What is the average salary for a Data Analyst at Infosys?

What skills and qualifications are required for the Data Analyst position at Infosys?

A Bachelor’s degree in Information Technology or a related field, along with at least 2 years of experience, is required. Candidates should possess strong programming skills in Python and SQL, familiarity with machine learning fundamentals, and experience with data visualization tools such as Tableau. Expertise in big data technologies like HDFS, Hive, and Spark is highly preferred.

What is the company culture like at Infosys?

Infosys is known for its innovative, inclusive, and employee-friendly environment. The company promotes continuous learning and development, ensuring employees are always up-to-date with industry trends and technologies. A strong focus is on performance, customer delight, and maintaining a good work-life balance.

Are you ready to embrace a thriving career with Infosys as a Data Analyst? The journey is challenging, intriguing, and rewarding.

If you want to stand out in your Infosys interview, check out our comprehensive Infosys Interview Guide, where we cover many interview questions specific to Infosys. Additionally, for those interested in other roles, we have tailored guides for positions such as Software Engineer and Data Analyst, detailing Infosys’ unique interview process and expectations.

At Interview Query, we empower you with the tools and insights to conquer any Infosys interview challenge. Explore our extensive library of company interview guides and prepare to excel. If you have any questions, don’t hesitate to contact us.

Good luck with your interview journey!