Head of Data at Pinpoint · Remote (United Kingdom)
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Read from this job's ad: what it asks for, so you can prepare one real example for each.
BigQuery
A time you used BigQuery: the problem, what you did yourself, and what happened.
From the ad's requirements
dbt
A time you used dbt: the problem, what you did yourself, and what happened.
From the ad's requirements
Python
A time you used Python: the problem, what you did yourself, and what happened.
From the ad's requirements
Snowflake
A time you used Snowflake: the problem, what you did yourself, and what happened.
From the ad's requirements
A data stack you designed and built yourself in a lean team
An example from your own work that shows this.
From the ad's requirements
A track record of data products people actually use, including non technical teams, not just dashboards
An example from your own work that shows this.
From the ad's requirements
Experience turning raw product usage data into metrics people act on
An example from your own work that shows this.
From the ad's requirements
Commercial judgement that connects data work to revenue, retention and strategy
An example from your own work that shows this.
From the ad's requirements
Clear explanations for senior leaders and non technical teams, in writing and in the room
An example from your own work that shows this.
From the ad's requirements
Daily use of LLMs and agentic tools, backed by the engineering depth and strong opinions to know when they're wrong, and how to make data sa
An example from your own work that shows this.
From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for Pinpoint on JobRipe yet. Use the job ad and our guide below.
Only figures we have enough data for. Nothing is estimated.
We show an employee rating once Pinpoint has at least 5 published verified reviews. Company page
Interview difficulty and process length appear once 5 candidates have reported them.
Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Rigour.
How to answer: Metric choice, baselines, offline vs online tests.
Why they ask: Communication.
How to answer: Problem, approach, impact, limits.
Why they ask: Customer Success is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: BigQuery is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Questions to ask them