Datadog Data Analyst candidates report timed SQL screens, and one reports a team conversation and a data project presentation. Here is what the three reports say and how to prepare for each stage.
$138K
Avg. Base Comp
$180K
Avg. Total Comp
4-5 rounds
Typical Rounds
Not reported
Process Length
Candidates describe timed SQL as the centerpiece of the Datadog Data Analyst interview. One candidate faced three SQL questions in about an hour and fifteen minutes in CoderPad, followed by conversation with a potential colleague. They did not pass. Their main difficulty was reading unfamiliar schemas, finding primary keys and join paths, and coding before talking through the approach. A separate senior-level report describes two coding sessions of three SQL questions each in an hour, so practicing sets of three queries is a sensible way to prepare.
The one candidate who received an offer reports four rounds: a casual recruiter call, a live SQL challenge with a current employee that ramped up in difficulty, a team call focused on cultural fit, and a final data analytics project with a presentation. That candidate found the project timeline tight and felt rushed building the presentation, so rehearse turning a dataset into a few clear findings quickly.
Behavioral questions appear in these reports too. The senior-level candidate was asked why Datadog and which projects they had worked on, and was unsure what the final case interview would cover. Prepare specific project stories with context, your actions and the result. With only three reports, treat the stage order as one reported path rather than a fixed format.
Synthesized from 3 candidate reports by our editorial team.
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Real interview reports from people who went through the Datadog process.
I went through four rounds total at Datadog for the Data Analyst role. The first was a recruiter screening call that felt pretty casual and conversational — they asked about my career trajectory and where I saw myself in five years, which helped them gauge fit. After that came the technical round, a live SQL coding challenge guided by a current employee. The setup was a bit clunky to work with, but the person running it was genuinely helpful when I got stuck. The questions started straightforward and ramped up in difficulty, feeling similar to LeetCode-style problems but focused on SQL. They wanted to see how I'd approach writing increasingly complex queries. The third round was a call with the team itself, less about technical depth and more about whether we'd mesh well culturally. Everyone kept things friendly and low-pressure, which I appreciated. The final round surprised me — they had me work through a data analytics project and then present my findings. The project itself was interesting, but the timeline was tight. I felt rushed putting together the presentation, which was honestly my biggest frustration with the process. The entire interview felt well-structured though, and the tone stayed casual throughout, which made it easier to think clearly under pressure. In the end, I got the offer.
Prep tip from this candidate
Be ready for a multi-round process that mixes SQL coding challenges with a data analytics project and presentation — time management on that final project is critical, so practice pulling insights quickly and presenting them concisely. Also prepare to discuss your hands-on SQL and BI tool experience (they asked about Tableau specifically) in a way that's grounded in real examples.
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Sourced from candidate reports and verified by our team.
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Synthesized from candidate reports. Individual experiences may vary.
Two candidates report opening with a recruiter or HR call. One describes it as casual, covering career trajectory and five-year goals. Prepare a concise story of your path and a specific answer on why Datadog, since one candidate recalled being asked that question.
Candidates report live SQL with an employee: one had three questions in about 75 minutes, and a senior-level candidate had three in an hour. Questions reportedly start simple and ramp up. Practice reading unfamiliar schemas, naming keys and join paths aloud, and explaining your approach before writing code.
The senior-level candidate reports a second one-hour coding session with three SQL questions and a separate one-hour visualization interview. This may vary by level, so treat it as a possible extension of the technical stage. Practice timed sets of three queries and explaining chart choices.
The candidate who received an offer reports a team call that focused less on technical depth and more on whether they would work well together. The tone was friendly and low-pressure. Prepare examples of collaboration, communicating results, and handling ambiguity.
The offer-stage candidate reports working through a data analytics project and presenting findings under a tight timeline. The senior-level candidate reports a final case interview but was unsure of its format. Practice quickly extracting insights and presenting them concisely, and expect some variation in format.
