Careem data analyst candidates describe a SQL-heavy process: online assessments, live SQL on retention and consecutive patterns, a case study, and a final conversation with a senior leader or bar raiser.
$88K
Avg. Base Comp
$105K
Avg. Total Comp
4-6 rounds
Typical Rounds
Not reported
Process Length
Careem's data analyst interview, as two candidates describe it, is built around SQL and then moves into open-ended business thinking. One candidate, who received an offer, reported an AI-based first interview with multiple-choice questions and two easy SQL queries. A Codility assessment followed with one easy and one medium SQL question. The live SQL round then focused on retention rates and consecutive-pattern questions, so practice cohort retention and streak logic until you can explain each step aloud.
The same candidate described a detailed case study round where you talk the interviewer through your thinking, then a final conversation with a director about your past work and your enthusiasm for the role.
A second candidate, interviewing for a Senior Data Analyst role and not receiving an offer, described a short career-aspirations call, a SQL test, and then four back-to-back one-on-one rounds: technical, product, business, and a bar raiser. Their open-ended prompt was optimal driver utilization for a ride-hailing business. They suggested defining the metric, naming its tradeoffs, and saying what data you would need. They were also asked about their most challenging project, so prepare one project you can walk through in detail.
That candidate also said the live interviews drifted from the study material Careem provided, so treat any prep guide as an outline. Both accounts are single reports for slightly different levels, so expect variation.
Synthesized from 2 candidate reports by our editorial team.
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How would you calculate daily user retention and rolling activity for Lime's app using login data?
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| Docs Metrics | |
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| User Experience Percentage | |
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| Employee Salaries (ETL Error) | |
| Ad Comments | |
| Monthly Customer Report | |
| Third Purchase | |
| Download Facts | |
| Top 3 Users | |
| Raining in Seattle | |
| 500 Cards | |
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report different openings. One described an AI-based interview with multiple-choice questions and two easy SQL queries. The other, interviewing for a senior role, described a short phone call about career aspirations and the kind of analytics work they wanted next. Prepare for both a light technical screen and a conversation about your goals.
Both candidates describe an online SQL test. One reported a Codility assessment with two SQL questions, one easy and one medium. The other said passing a SQL test moved them on to the interview rounds. Practice writing clean, correct SQL, including joins, aggregation and window functions.
One candidate reported a live SQL coding round with several questions, especially on retention rates and consecutive patterns. The senior-role candidate described a technical round covering SQL and analytics, where explaining the approach to an analysis mattered as much as correct syntax. Talk through your reasoning as you write queries.
Candidates report open-ended rounds. One described a detailed case study where they explained their thoughts to the interviewer. The other mentioned product and business conversations that included optimal driver utilization for ride-hailing. You may be expected to define a metric, discuss tradeoffs and say what data you would need.
One candidate reported a final conversation with a director about their work and enthusiasm for the position. The other described a final bar raiser round and a question about their most challenging project. Prepare a specific project walkthrough and a clear account of why you want the role.
