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Moon Active Data Analyst Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 45 interview experiences · FREE TO READ

3 Rounds average
Average Typical difficulty
68.9% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Moon Active.

Showing 3 of 45
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Business Data Analyst

Analytics · nearly a year ago

Entry Difficult Positive experience No offer 5 rounds
Interview process
Recruiter call Take home Technical screen Onsite Background check Offer
Interview formats
Technical Coding Behavioral

It started with a quick chat with the recruiter. Then, there was a take-home task where I had to do some data analysis and come up with business insights. After that, I interviewed with a Team Lead. The next step was another interview with a different Team Lead and the Head of Product Analytics. They mentioned there might be one more interview with the VP Data. The whole thing wrapped up with an HR interview.

Confirmed questions5 questions
  • What is it about the game that appeals to you?
  • What aspects of the game do you think could be enhanced?
  • Given graphs detailing user counts, spin frequencies, and dates, what user behaviors can be inferred, and subsequently, what SQL query would you write to calculate the daily average of total spins per user?
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Moon Active

Business Data Analyst

Analytics · a year ago

Mid Average Positive experience Accept offer 5 rounds
Interview process
Recruiter call Take home Technical screen Onsite Background check Offer
Interview formats
Technical Behavioral

It started with an HR phone call, followed by a ~2 hour take-home exam. Then, there were two technical interviews and an HR interview. After that, they checked references. They were super nice and welcoming throughout the whole process, showing interest in me and letting me speak my mind during interviews. They even gave me the option to take short breaks if I needed to sort out other recruitment processes. The whole recruitment was fast and organized, and they were really responsive and considerate.

Confirmed questions4 questions
  • Regarding a specific business problem presented, what data would you gather?
  • Could you explain your approach to analyzing the suggested data, including the types of graphs you would create?
  • If presented with a mock graph of the data, how would you interpret its findings?
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Moon Active

Data Analyst

Analytics · more than a year ago

Mid Average Negative experience No offer 2 rounds
Interview process
Take home Onsite
Interview formats
Technical Behavioral

I already passed the first stage which was a 1.5 hour take-home assignment involving SQL and graph analysis. The second interview was on-site with two team leads. One team lead, a man, was friendly and asked about me. The other team lead, a woman, asked for my thoughts on what makes a good analyst. She seemed to have a bad vibe throughout the interview. She then went through my entire work history, probing why I left previous jobs and if I was fired, which felt very unpleasant and hostile. The second part of this round involved technical questions on probabilities (from my first university course) and graph analysis.

Confirmed questions2 questions
  • Can you define what a good analyst is?
  • What are your thoughts on probabilities, cubes, and graphs analysis?

Moon Active Data Analyst Interview Questions

Quoted word for word from Moon Active interview reports.

With two dice, what's the probability of rolling a sum of 6?

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Given graphs detailing user counts, spin frequencies, and dates, what user behaviors can be inferred, and subsequently, what SQL query would you write to calculate the daily average of total spins per user?

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If $1 equals 100 energy, and the monetization manager proposes changing it to $1 = 150 energy, is this a good proposal?

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Can you create an SQL table for analyzing a specific feature shown in the game Coin Master?

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Beyond a drop in Daily Active Users, what other factors could contribute to a decline in revenue?

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What insights can be derived from a table containing user ID, date, and spins?

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How would you use SQL to analyze a table with user ID, date, and spins?

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If an analyst reports a correlation between chest purchases and user retention, what methods, other than A/B testing, could be employed to demonstrate that such a correlation does not exist?

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Formats, difficulty and experience

Across all 45 Moon Active interview reports.

Interview formats

Technical 40.2%
Behavioral 29%
Coding 21.5%
Presentation 4.7%
Case 4.7%

Interview difficulty

Easy 2.2%
Average 62.2%
Difficult 35.6%

Candidate experience

Negative 11.1%
Positive 68.9%
Neutral 20%