
Roku Inc. Data Analyst interview typically runs 2 rounds: recruiter screen, HackerRank coding interview. It usually takes about 1-2 weeks and the recruiter screen can be technical.
$131K
Avg. Base Comp
$151K
Avg. Total Comp
2
Typical Rounds
1-2 weeks
Process Length
We’ve seen Roku treat the early conversation less like a formality and more like a real filter for day-one readiness. In the candidate experience we have, the recruiter screen included medium-level SQL on joins and CTEs, which is a strong signal that Roku wants analysts who can reason through data structures without needing a warm-up round. That matters because it suggests the company is screening for practical fluency, not just polished communication.
A recurring theme is that Roku’s technical bar feels grounded in the work itself: the coding assessment blended SQL and Python, and the problems were described as role-specific rather than abstract puzzles. Our candidates report that being able to run code and inspect output helped, but it didn’t make the exercise easy — the difficulty still sat in the middle range and required careful execution. The non-obvious takeaway is that Roku seems to care a lot about whether you can move cleanly between querying and scripting, especially when the task is framed like an actual analytics problem.
What stands out most is the emphasis on working accuracy under realistic constraints. This is not a process where surface-level familiarity with SQL is enough; the candidate who shared this experience got through part of the assessment but not all of it, which reinforces that Roku is looking for analysts who can stay precise when the prompt shifts from familiar syntax to applied problem-solving.
Synthetized from 1 candidates reports by our editorial team.
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Real interview reports from people who went through the Roku Inc. process.
The recruiter screen caught me off guard a bit because it was more technical than I expected for an initial call. It was straightforward and friendly, but the recruiter still asked me a couple of medium-level SQL questions, including things like CTEs and joins, so I’d definitely be ready for that even before the real technical rounds. After that I had a HackerRank coding interview that lasted about an hour and covered both SQL and Python. The format let me run the code and check the output as I went, which was helpful, but the problems were still role-specific and not something I could share in detail because of NDA. I got through some of it but not all of it, and the difficulty felt solidly in the medium range rather than purely basic screening questions.
Prep tip from this candidate
Be ready for SQL questions in the recruiter screen, especially around CTEs and joins. For the HackerRank round, practice role-relevant SQL and Python problems in a live-run environment so you’re comfortable validating output as you go.
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Topics based on recent interview experiences.
Featured question at Roku Inc.
Find the average yearly purchases for each product
| Question | |
|---|---|
| 2nd Highest Salary | |
| Top Three Salaries | |
| Rolling Bank Transactions | |
| Button AB Test | |
| Compute Deviation | |
| Prime to N | |
| Paired Products | |
| P-value to a Layman | |
| Weighted Keys | |
| Session Difference | |
| Find the Missing Number | |
| Random SQL Sample | |
| Upsell Transactions | |
| Raining in Seattle | |
| Decreasing Comments | |
| Hurdles In Data Projects | |
| Bank Fraud Model | |
| Popular Actions | |
| Identifying User Sessions | |
| Exam Scores | |
| Liked Pages | |
| Network Experiment Design | |
| Google Maps Improvement | |
| Completed Shipments | |
| Digital Library Borrowing Metrics | |
| Revenue Retention | |
| Reducing Error Margin | |
| Detecting ECG Tachycardia Runs | |
| Group Success |
Synthesized from candidate reports. Individual experiences may vary.
The process begins with a recruiter call that is more technical than many candidates expect for an initial screen. Along with standard background and role-fit questions, the recruiter asked medium-level SQL questions, including joins and CTEs, so candidates should be prepared to demonstrate SQL fundamentals right away.
The next stage is a HackerRank coding interview focused on both SQL and Python. The format allows candidates to run code and check outputs as they go, but the problems are still role-specific and sit in the medium-difficulty range rather than being basic screening exercises.
Within the technical interview, candidates are expected to solve SQL tasks that go beyond simple syntax recall. Based on the experience shared, this includes working with joins and CTEs, and the questions are designed to test practical query-writing ability under interview conditions.
The same technical round also includes Python questions, so the interview is not purely SQL-focused. Candidates should be comfortable writing and debugging code in a live environment, since the platform supports execution and output checking during the session.