
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.
$110K
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.
Synthesized from 1 candidate report by our editorial team.
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Featured question at Roku Inc.
Find the average yearly purchases for each product
| Question | |
|---|---|
| Ranking Metrics | |
| Scaling Up Recommender | |
| 2nd Highest Salary | |
| Top Three Salaries | |
| Rolling Bank Transactions | |
| Compute Deviation | |
| Experiment Validity | |
| Button AB Test | |
| Prime to N | |
| Paired Products | |
| Weighted Keys | |
| Random SQL Sample | |
| Find the Missing Number | |
| P-value to a Layman | |
| Upsell Transactions | |
| Hurdles In Data Projects | |
| Raining in Seattle | |
| Top 3 Users | |
| Decreasing Comments | |
| Google Maps Improvement | |
| Bank Fraud Model | |
| Popular Actions | |
| Exam Scores | |
| Identifying User Sessions | |
| Size of Joins | |
| Liked Pages | |
| Network Experiment Design | |
| Completed Shipments | |
| Reducing Error Margin |
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.