Indigo is a prominent entity in its industry and is known for its dynamic and fast-paced work environment. With this Data Analyst role, you’ll have the opportunity to dive deep into data analytics and contribute to the company’s strategic decisions.
In this guide, we’ll help you navigate the interview process, from understanding what to expect at each stage to preparing for the Indigo data analyst interview questions you will get asked.
If your CV happens to be among the shortlisted few, a recruiter from the Indigo Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral interview questions may also be a part of the screening process.
In some cases, the Indigo 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.
Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Indigo data analyst role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Indigo’s data systems, ETL pipelines, Excel, 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.
After a second recruiter call outlining the next stage, you’ll be invited to attend the on-site interview loop. During your day at the Indigo office, multiple interview rounds, varying with the role, will be conducted. 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, you may also be invited to a presentation round during the on-site interview for the data analyst role at Indigo.
Typically, interviews at Indigo vary by role and team, but commonly data analyst interviews follow a fairly standardized process across these question topics.
You are working at a global trading company analyzing the price of a particular asset over time. The dataset is noisy, volatile, and not guaranteed to be completely accurate. How would you analyze this data to ensure there aren’t any discrepancies?
A team wants to A/B test multiple different changes through a sign-up funnel. For example, on a page, a button is currently red and at the top of the page. They want to see if changing a button from red to blue and/or from the top of the page to the bottom of the page will increase click-through. How would you set up this test?
Say you work at Instagram, and a new feature for high schoolers is about to be released. This new feature allows a user to identify their school and receive an associated sticker that they can use to “rep” their high school on their profile. How would you verify that a user is actually a high school student attending the school, as represented by their sticker?
digit_accumulator
to sum every digit in a floating-point number string.You are given a string
that represents some floating-point number. Write a function, digit_accumulator
, that returns the sum of every digit in the string
.
Example:
Input:
s = "123.0045"
Output:
def digit_accumulator(s) -> 15
Since
1 + 2 + 3 + 0 + 0 + 4 + 5 = 15
You have two buckets with different distributions of red and black marbles. Your friend pulls a red marble from one of the buckets. Calculate the probability that it was pulled from Bucket #1.
Explain what time series models are and discuss why they are necessary when simpler regression models are available.
You have a time series dataset grouped monthly for the past five years. Describe how you would find out if the difference between this month and the previous month is statistically significant.
Here are some quick tips to help you prepare better for the upcoming Indigo data analyst interview:
Excel Proficiency: Be prepared to showcase your Excel skills. You might have to take an Excel quiz during the interview. Brush up on advanced Excel functions frequently used in data analysis.
Ask about Work-Life Balance: Given the feedback from previous candidates, it’s wise to ask about work-life balance during your interview. Asking about typical working hours and expectations can provide valuable insight.
Detailed Life Story: Be ready to answer detailed personal history questions, such as your upbringing and early influences, especially in behavioral interviews. These questions might not seem relevant but are part of evaluating your personality fit for the team culture.
Based on interview experiences, Indigo’s culture appears to value thoroughness and intensity. However, some have noted a lack of work-life balance, with expectations to work late into the evening and a high-stress environment. It’s essential to gauge if this aligns with your personal work style and professional goals.
While some candidates have found the communication encouraging, there have been instances where feedback was misleading. It’s advisable to manage expectations and seek clear, direct answers regarding your status throughout the interview process.
In summary, Indigo provides a rigorous and comprehensive interview process for aspiring Data Analysts. The structured day-long sessions, complemented by technical tests and discussions on cultural fit, illustrate the company’s commitment to identifying the right candidate. However, it’s essential to be prepared for a demanding environment and ensure that the company’s expectations align with your career aspirations.
If you want more insights about the company, check out our main Indigo Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as Data Scientist and Business Analyst, where you can learn more about Indigo’s interview process for different positions.
Good luck with your interview!