
CKM Analytix Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 32 interview experiences · FREE TO READ
Which role are you interviewing for?
4 roles · 32 reportsCandidate interview experiences
First-hand accounts from people who interviewed at CKM Analytix.
Software Engineer
There was a data challenge, and then I met with some team members, including senior ones. It also involved a whiteboard challenge where I had to manipulate data within a data structure. Overall, it wasn't too intense.
- Can you describe the impact of data on your work?
Business Analyst
I applied through campus recruiting and the interview was in the school career center. It was about an hour long and I spoke with two different recruiters. They asked about my resume and experience, and then asked some questions about the job.
- What is your projection for solar energy's share of total energy by 2025, given it's currently at 5%?
Data Scientist
So, first there was a phone call to go over my resume and check if I could think analytically and solve problems. We also chatted about the company and what the rest of the interview process looked like, plus my hobbies. Then, about a week before the next step, they sent over a data challenge. It was this big dataset, like 2GB, with a business problem to solve. I had to come up with a solution based on what I found in the data and then explain my methods and show visualizations. The next round was basically me presenting my analysis, showing I knew my data science stuff and could explain my thought process. I also met with a few other people, including a partner and a director. These chats were pretty similar to the first round, mostly just learning more about the company and the kind of work they do. Overall, I really liked how the interviews were set up, especially the data challenge part.
- If presented with an unclear dataset and a related business issue, what would be your initial steps to find a solution?
- How would you generally proceed to solve a business problem using an ambiguous dataset?
Consultant
I interviewed through on-campus recruiting. The interview was on campus with two different people. Each interview had a somewhat long fit portion and then a brainteaser/quantitative question at the end. Overall, the process felt smooth, but one interviewer was arrogant and gave the impression that he did not want to be there. He asked me about my previous work with a start-up company, and then said the start-up's product did not sound like a good idea. It seemed like an unnecessary comment, especially since I was not a founder of the start-up company and only did a summer internship there.
- Can you describe brainteasers that are very broad and vague?
- How do you approach coming up with numbers and estimates quickly for these types of questions?
CKM Analytix Interview Questions
Quoted word for word from CKM Analytix interview reports.
“What will the prevalence of solar energy be in 2025 (give me a number)?”
Read reports →“Could you estimate the size of the tobacco market in the United States?”
Read reports →“Can you determine the minimum number of heats needed to find the three fastest swimmers out of 25, given a five-lane pool?”
Read reports →“Could you estimate the market size for electric cars and specify what data would be relevant for this analysis?”
Read reports →“What is your projection for solar energy's share of total energy by 2025, given it's currently at 5%?”
Read report →“How many friends do you have?”
Read report →“What are some brain teasers?”
Read report →“How might Uber model and improve customer happiness?”
Read report →“Tell me about how the internet works.”
Read report →Formats, difficulty and experience
Across all 32 CKM Analytix interview reports.