Staff Data Analyst - Ops & Compliance
Qonto
Paris, FrancePosted Discovered via AshbyMatch locked
RemoteFullTime2+ years expTech & Data
[OUR MISSION AND CUSTOMERS]
We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be
rated 4.7 on Trustpilot,
based on 60,000 reviews.
Our culture
puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture
here
).
[OUR JOURNEY]
Founded in 2016 and launched in 2017 by
Alexandre
and
Steve
, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started.
[OUR BELIEFS]
We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are.
We've built a discrimination-free hiring process
because the best teams are built on merit.
[AI AT QONTO]
AI is deeply embedded in how we work (
here
) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.
Join us as a
Staff Data Analyst – Ops & Compliance
and build the analytics foundations that power Qonto's compliance execution. You'll own a brand-new scope, from KYC/KYB funnels to remediation campaigns and financial exposure, under the guidance of Alma, our Lead Data Analyst for Ops & Finance.
➡️ What you’ll do
•
Build compliance monitoring from scratch
You own the data foundations that let Product, Ops and Compliance decide without waiting for a data request.
•
Own KYC/KYB funnel analytics
You deliver insights from CS initiation through KYB validation, such as refusal reasons, document gaps and lead times.
•
Track remediation campaigns
You measure MRR secured, at risk or lost across active campaigns, with peaks in Q4 (budget season) and May-June (reforecast).
•
Model data with dbt
You work with our Analytics Engineers to build pipelines from source to consumption layer, with metric definitions everyone trusts.
•
Ship self-service tools
You partner with Product, Ops, Risk & Compliance and Internal Control to scope and ship analytical tools teams use on their own.
➡️ What we’re looking for
•
Strong SQL and data modelling
You've built end-to-end transformation pipelines, with data quality you can vouch for. [TO COMPLETE: years / Staff-level bar]
•
Regulated-environment experience
You've analysed KYC/KYB, AML, remediation or similar regulated processes. [TO CONFIRM: must-have or nice-to-have?]
•
A self-service mindset
You've designed dashboards and models people explore on their own, from daily SLA tracking to exec budget readouts.
•
Clear prioritisation
You've balanced competing analytical requests from several teams, scoping clearly and saying no when needed.
•
AI-native workflow
You use AI daily in your analytics work and want to go further.
➡️ What we can offer you
•
A greenfield, company-wide scope
You build analytics foundations that matter beyond your own team, with no legacy to untangle.
•
Senior exposure from day one
You work directly with Product, Ops, Risk & Compliance and Internal Control.
•
Real ownership in the modern data stack
You build in Omni and dbt with a high degree of autonomy.
•
AI as a first-class tool
You get unlimited access to AI tools like Claude and Cursor, to change how you work, not just how much you produce.
➡️ Your future manager
You'll report to Alma , Lead Data Analyst, who leads analytics for Qonto's Corporate & Operations teams. She's building a team that turns data into decisions, and she'll push you to do the same.
[DIVERSITY]
At Qonto, we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick - who knows? You may have the missing piece of the puzzle we've been searching for all along.
[HIRING PROCESS DURATION]
On average,
our hiring process lasts 20 working days.
More information on our candidate journey
[DATA RETENTION]
By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details.
Skills
artificial-intelligencedbtgosql
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.