Staff Data Analyst - Compliance

Qonto

Paris (KY)

On-site

USD 90,000 - 150,000

Full time

3 days ago
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Job summary

Qonto is seeking a Staff Data Analyst for Compliance to build and own analytics foundations under regulatory scrutiny. You will turn regulatory questions into self-service analytics and lead end-to-end KYC/KYB funnel insights.

Expect cross-functional collaboration from day one, working with Product, Ops, Risk & Compliance, and Internal Control in a modern data stack. You will leverage your SQL, data modelling, and AI-enabled tooling to deliver trusted metrics across onboarding, remediation, and

Qualifications

  • Experience in regulated environments (KYC/KYB, AML, remediation).
  • Strong SQL and data modelling with end-to-end pipelines.
  • Experience building self-serve dashboards for daily and exec-level users.
  • Excellent cross-functional collaboration and stakeholder management.

Responsibilities

  • Build compliance process monitoring from scratch and own data infrastructure for compliance analytics.
  • Model and transform data with dbt to maintain clean, trusted metrics.
  • Turn regulatory questions into self-service assets in collaboration with Product, Ops, Risk & Compliance.
  • Own the KYC/KYB funnel analytics end-to-end from CS initiation to KYB validation.
  • Track remediation campaigns and financial exposure across active programs.

Skills

SQL
Data modelling
Self-service BI
Stakeholder management
AI-enabled analytics
English fluency

Tools

dbt
Omni

Job description

Join us as a Staff Data Analyst - Compliance

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 4.8 on Trustpilot, based on 55,000+ 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 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ 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.

Responsibilities
  • Build compliance process monitoring from scratch: You’ll build and own the data infrastructure that powers compliance monitoring at Qonto, from onboarding funnel analytics to remediation financial exposure, giving product, operations and compliance teams the self-service tools they need to make decisions without waiting on a data request.
  • Model and transform data with dbt: With the collaboration of Analytics Engineer Team, you’ll build end-to-end transformation pipelines from source to consumption layer, keeping metric definitions clean and trusted by non-technical stakeholders.
  • Turn regulatory questions into self-service assets: You’ll partner with Product, Ops, Risk & Compliance, and Internal Control to scope and ship analytical tools.
  • Own the KYC/KYB funnel analytics end-to-end: You’ll deliver insights from CS initiation through KYB validation, refusal reasons, document gaps, lead-time distributions, so teams can act on friction fast.
  • Track remediation campaigns and financial exposure: You’ll measure MRR secured, at risk, or lost across active campaigns, with peak intensity in Q4 (budget season) and May-June (reforecast).
What you can expect
  • A greenfield, strategically critical scope: Qonto is under close regulatory scrutiny, you’ll build analytics foundations that matter company-wide, not just for your team.
  • Senior, cross-functional exposure from day one: Product, Ops, Risk & Compliance, Internal Control, few DA roles give you this breadth of senior stakeholder access at this level.
  • Real ownership in the Modern Data Stack: You’ll build in Omni and dbt with a high degree of autonomy, no legacy to untangle, just foundations to create.
  • A team where AI is a first-class tool: Unlimited access to AI tools (Claude, Cursor, and more) to evolve how you work, not just output more.
Your future manager

Your manager will be Alma, our Lead Data Analyst for Ops & Finance. Alma knows exactly what it takes to build an analytics function that actually changes decisions, and she’ll push you to do the same. Alma reports to Erwan, Director of Business Analytics who oversees the entire Analytics function and ensures alignment across teams.

About You
  • Compliance or regulated environment experience: You’ve worked analytically on KYC/KYB, AML, remediation, or similar regulatory/operational processes, and you know how to get credible with those stakeholders fast.
  • Self-service product mindset: You’ve designed dashboards and models for end-users to explore autonomously, adapting the same dataset from ops-level (daily SLA tracking) to exec-level (budget readouts).
  • Cross-functional stakeholder management: You’ve juggled competing analytical priorities across multiple teams, and you know how to scope clearly, push back when needed, and drive adoption.
  • Strong SQL and data modelling skills: You’ve built end-to-end transformation pipelines, enforced data quality, and made non-technical stakeholders trust your numbers.
  • AI-native workflow: You actively use AI tools to accelerate your analytics work, from data modelling to stakeholder communication, and you’re genuinely curious about going further.
  • Language: Fluent in English.

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.

On average, our hiring process lasts 20 working days.

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.

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