Senior Data Analyst - Enterprise Risk at Teya · Remote (United Kingdom)
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Power BI
A time you used Power BI: 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
SQL
A time you used SQL: the problem, what you did yourself, and what happened.
From the ad's requirements
A practical understanding of how risk is identified, assessed and monitored, including how risk appetite, controls, risk drivers, KRIs and t
An example from your own work that shows this.
From the ad's requirements
Strong business partnering skills, with the ability to work closely with risk owners and non-technical stakeholders, understand their needs
An example from your own work that shows this.
From the ad's requirements
Strong analytical judgement, with the ability to challenge assumptions, investigate unexpected results, assess data quality and communicate
An example from your own work that shows this.
From the ad's requirements
Experience working with data from multiple sources and improving the reliability, consistency and usability of analytical outputs.
An example from your own work that shows this.
From the ad's requirements
Hands-on curiosity about current AI models and AI-enabled workflow automation, with the ability to build and improve workflows that support
An example from your own work that shows this.
From the ad's requirements
A structured, pragmatic approach to problem-solving, with the confidence to work through ambiguity and take ownership of deliverables.
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 Teya on JobRipe yet. Use the job ad and our guide below.
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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: Power BI is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Python 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.
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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.
Why they ask: Looks for red flags and motivation.
How to answer: Stay positive: what you want next, not what you dislike.
Why they ask: Fit and ambition check.
How to answer: Tie your growth to the problems this team is solving.
Questions to ask them