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Morgan Stanley Data Analyst Interview
Questions & Process

What 16 candidates said about the rounds, the
questions and how long the wait really is.

From 16 candidate reports · FREE TO READ

2.3Rounds average
30.1Day average
AverageTypical difficulty
68.8%Positive experience

Questions candidates reported

Quoted word for word from Morgan Stanley interview reports.

Engineering accounts for 10,860 of 16 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.

Formats, difficulty and experience

Across all 16 Morgan Stanley interview reports.

Question formats

Behavioral45.5%
Technical39.4%
Coding12.1%
Presentation3%

Interview difficulty

Easy12.5%
Average68.8%
Difficult18.8%

Candidate experience

Positive68.8%
Neutral25%
Negative6.2%

Reports by job function

Engineering10,860
Operations1,308
Product1,188
Sales1,054
Other762
Marketing542

The interview process

Described in candidates’ own words.

The interview was smooth, starting with background and motivation questions, then moving on to technical assessments in Python and SQL, which included data manipulation, queries, and basic coding logic. Overall, it was a well-structured and good experience.Candidate-reported process
I applied online. The whole thing took 5 weeks. It started with a phone call where they just asked me to introduce myself. Honestly, it was handled pretty well. After that, I had a panel interview.Candidate-reported process
the test technique was in python sql it was like hackerranck with different problems to solve (prime numbers, fibonacci) and oral technical questions on databases in python, and in sql. The questions can also be about motivation, to join the company and why this offer and why the data.Candidate-reported process
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