Practice the work behind the question.
Choose a lane and role to see its real interview questions, what each tests, and a framework for strong answers. These are practice prompts and general guidance - not memorized scripts, and not every company interviews the same way.
Onchain Data Analyst
Expect questions about SQL, blockchain event and contract literacy, and data visualization, plus a scenario where the role must investigate broken pipelines, contract migrations, suspicious activity spikes, indexer delays, or metrics invalidated by protocol changes. Interviewers are looking for evidence that the candidate knows where data definitions and querying stop and attributing identity without evidence and formal investigations by default begin.
- Role fundamentals
How do you validate a query when the dashboard result looks plausible?
Common follow-ups
- Can you give a concrete example?
- What would you do differently next time?
- Judgment
Why is address count a weak user metric?
Common follow-ups
- Can you give a concrete example?
- What would you do differently next time?
- Judgment
How would you investigate a sudden increase in active wallets?
Common follow-ups
- Can you give a concrete example?
- What would you do differently next time?
Weak-answer patterns
- • Repeating jargon without specifics.
- • Avoiding concrete examples.
- • Claiming team outcomes as personal work.
- • Presenting tools or follower counts as competence.
- • Dashboards with no definitions
- • Wallet counts called users
- • Charts built from copied queries the author cannot explain