Infosys is a global leader in next-generation digital services and consulting, enabling organizations in over 50 countries to navigate their digital transformations. With four decades of experience in managing the systems and operations of global enterprises, 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 skills in SQL, Python, data analysis, machine learning, and problem-solving.

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

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Infosys as a Data Analyst. Whether you were contacted by an Infosys recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

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

In some cases, 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 present you with an invitation for the technical screening round. Technical screening for the Infosys Data Analyst role usually is conducted through virtual means, including video conferences and screen sharing. Questions in this 1-hour long 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. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

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.

Quick Tips For Infosys Data Analyst Interviews

• 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.
• Understand Company Culture: Ensure you understand Infosys' business model and culture. Prepare behavioral questions that will highlight your fit into the organization.
• Practice Technical Questions: Utilize Interview Query to practice common technical questions, focusing on SQL, data visualization tools, and data analysis concepts.

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

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• 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.

• 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.

• 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.

• 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.

• What are the drawbacks of having student test scores organized 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.

• 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.

• 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.

• What factors could bias Jetco's study on boarding times? Jetco, a new airline, has the fastest average boarding times according to a study. Identify potential factors that could have biased this result and what you would investigate further.

• 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.

• - 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) to use?

• How would you explain what a p-value is 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.

• 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.

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

Q: What is the interview process for the Data Analyst position at Infosys like?

The interview process at Infosys for the Data Analyst position typically involves multiple stages. Candidates can expect an initial phone interview, followed by technical interview rounds, and concluding with HR rounds. The whole procedure can take anywhere from three weeks to two months from the date of application.

Q: What kind of technical questions can I expect in the interview?

You can expect questions related to SQL, Python, data analysis, machine learning, and data visualization tools like Tableau. Common topics include window functions in SQL, joins, subqueries, data cleaning, and statistical testing.

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

A Bachelor’s degree in Information Technology or a related field is required, along with at least 2 years of experience. Candidates should possess strong programming skills in languages like 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.

Q: 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 the latest industry trends and technologies. There is a strong focus on performance, customer delight, and maintaining a good work-life balance.

Q: How can I best prepare for an Infosys Data Analyst interview?

To prepare for your interview, review common SQL queries, data analysis techniques, and machine learning concepts. Practice coding problems and familiarize yourself with data visualization tools. Utilizing resources like Interview Query can be immensely helpful in practicing and refining your skills.

Are you ready to embrace a thriving career with Infosys as a Data Analyst? The journey is challenging, intriguing and rewarding. From preparing for fundamental machine learning concepts to mastering SQL window functions, the interview process demands thorough practice and preparation. Explore the depth of technical and HR rounds, honing your skills with real-time use cases and coding practices on platforms like Interview Query.

If you’re looking to stand out in your Infosys interview, check out our comprehensive Infosys Interview Guide, where we cover a myriad of 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 reach out to us.

Good luck with your interview journey!