
The Hiive Data Analyst interview runs 5 rounds and takes a few weeks from recruiter screen to decision. The process screens for analytical communication, stakeholder translation, and how you operate with limited structure in a small startup environment. Candidates report the recruiter screen is tightly focused on role logistics including relocation to Vancouver.
A short recruiter call covering your background, interest in Hiive, and logistics including compensation expectations. Candidates describe it as a quick fit and sanity check before moving to the hiring manager.

A video call focused on past analytics work, stakeholder partnership, and how you translate ambiguous questions into analyses. Candidates report being asked to walk through a recent project end to end, including trade-offs and impact.

A take-home analysis assignment followed by a debrief where the interviewer questions your methodology, assumptions, and conclusions. The review focuses on clarity, data handling choices, and whether recommendations fit the business context. Read our data analytics case study guide to prepare for Hiive’s take-home exercise.

Back-to-back video interviews with teammates and cross-functional partners covering collaboration, stakeholder management, and analytics judgment. Candidates report a strong emphasis on communication and how you handle conflicting requirements across Sales, Marketing, Finance, and Compliance.

A senior leader conversation, including a CEO round in some loops, focused on motivation, working style, and how you operate with limited process. Candidates describe it as a wrap-up confirming pace, ownership, and alignment on why Hiive.

Check your skills...
How prepared are you for working as a Data Analyst at Hiive?
| Question | Topic | Difficulty | ||||||||||||||||||||||
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SQL | Easy | |||||||||||||||||||||||
Write a SQL query to select the 2nd highest salary in the engineering department. Note: If more than one person shares the highest salary, the query should select the next highest salary. Example: Input:
Output:
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SQL | Easy | |||||||||||||||||||||||
SQL | Medium | |||||||||||||||||||||||
137+ more questions with detailed answer frameworks inside the guide
Sign up to view all Interview QuestionsSQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard |
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