Kraken Data Analyst interviews reported by two candidates combine recruiter and hiring manager conversations with a case study or take-home on data cleaning, KPIs and dashboards, ending with team-level interviews.
$143K
Avg. Base Comp
$176K
Avg. Total Comp
Not reported
Typical Rounds
5 weeks
Process Length
Two candidates describe Kraken Data Analyst interviews, and both put an analytical case at the center. One reports a challenging case study on data cleaning and KPI definitions and calculations. The other describes a three-day take-home project followed by a presentation of dashboards built from the insights.
The first candidate, who accepted an offer, was asked how they would create a new scorecard for a client engagement ops workflow. They saw this as a test of how they think about metrics, structure and business context. Their final round, with two data analysts, felt like a conversation about their background, data stack, data governance and stakeholder management rather than a deep technical grilling. Practice defining KPIs and cleaning data before calculating them, and explain your approach clearly at a high level.
The second candidate, who was not offered the role, reports an NDA-covered process. Questions touched on system alerts and profiling, data cleanup, spotting trends and modeling systems. One question they recalled was how to diagnose turnaround time for cases across different regions. They also reported two semi-technical rounds in a cognitive or IQ-test format, and a final round with the team lead and Director of Analytics. They were told the field was very strong and they narrowly missed out.
The two reports differ in format and outcome, so prepare for both a case study and a take-home presentation. Be ready to turn messy data into clear dashboards and a recommendation for stakeholders.
Synthesized from 2 candidate reports by our editorial team.
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Real interview reports from people who went through the Kraken process.
The initial interview was a screening call with the usual work history questions and checks for suitability. The next step was to meet the hiring manager, who was open about the role and provided a lot of positive feedback. Two semi-technical rounds in a cognitive/IQ test format, along with a three-day take-home project and presentation, then followed. The fifth and final round was with the team lead and Director of Analytics. When I was not offered the role, the feedback was that the field was extremely strong and I had just been pipped at the post. It was good that the recruiter followed up with information.
Questions asked: I signed an NDA, but the questions related to system alerts and profiling. The focus was on data cleanup, identifying trends, and modeling systems. The next stage involved presenting dashboards of the insights revealed. Question: How would you diagnose turnaround time for cases across different regions?
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Kraken
How would you analyze this data to ensure there aren't any discrepancies?
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| Empty Neighborhoods | |
| Rolling Bank Transactions | |
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| Closest SAT Scores | |
| Total Spent on Products | |
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| Experiment Validity | |
| Top 3 Users | |
| Button AB Test | |
| Find the Missing Number | |
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| Assumptions of Linear Regression | |
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Synthesized from candidate reports. Individual experiences may vary.
Both candidates report an opening screening call. One describes it as an HR screen, and the other says it covered the usual work history questions and a suitability check. Candidates typically should be ready to summarize their analytics background.
Candidates report meeting the hiring manager next. One says the interview was with the hiring manager or director plus a data analyst. The other describes a hiring manager who was open about the role and gave positive feedback.
One candidate reports a challenging case study on data cleaning and KPI definitions and calculations. The other reports a three-day take-home project with a dashboard presentation. The questions may include diagnosing case turnaround time across regions.
One candidate reports two semi-technical rounds in a cognitive or IQ-test format. The other did not mention this stage, so it may not apply to every process. Prepare for reasoning-style questions if your recruiter confirms it.
Candidates report different final rounds. One had a conversational interview with two data analysts covering background, data stack, data governance and stakeholder management. The other met the team lead and Director of Analytics.
