Compliance Expert Data Analyst

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.

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To achieve Qonto's mission and our ambitious goals we created the Data team, responsible for overseeing Data Analytics, Engineering, and Science. In just two years, our data department has grown from 5 to 60 people, and we continue expanding!

At Qonto, Data Analytics is essential and central to our business. You will join a team of talented data analysts, that provides key insights used to make strategic decisions across the company.

The BI Team is organized into four teams working in distinct areas, that regularly work together on cross-functional topics.

⭐ Your Mission: As a Staff Data Analyst, you'll bring an analytical mindset and passion for using data as the main driver of product innovation and business growth.

⚡ Impact: You strategic analysis and recommendations will have an impact across different domains. You'll drive improvements within the team best practice, mentor your colleagues with the goal to become the go-to person for analytics.

👩💻🧑💻As a Staff Data Analyst at Qonto, you will :

You will work directly with business & product teams playing a key role in orienting features development while setting best practices across the Data team.

- Perform deep strategic and ad-hoc analysis across multiple domains to answer core questions such as: What is the best approach to pricing? How can we improve the usage of a certain feature?

- Provide recommendations to teams across the business on how we can evolve our internal strategy and address shortcomings observed through deep analysis.

- Leading opportunity sizing and analysis. What is the best default billing option to increase conversion? Should we reach out to clients who have insufficient funds to cover their monthly fees? Write clear, actionable analyses that help teams identify areas of improvement and investment.

- Improve our decision velocity and quality using statistical analysis: experimentation, causal inference techniques, etc. Design measurement plans, advise on best practices, identify flaws in experiment practices and results; build tools for causal analysis; collaborative design of new frameworks, counterfactual logging, etc.

-Creating, tracking, and breaking down success metrics into actionable segments. Identify the right measures of success for our teams and help them track those metrics. You may go from creating new datasets to building dashboards that track components of a metric.

- Lead and mentor the scope of work for data analysts in the same area, demonstrating high-quality output of both yourself and others. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging training opportunities to improve performance.

- Set up best practices and advocate for the team's work to meet internal standards for code style, quality, maintainability, and best practices

🚧 Example of your future projects

- The onboarding team wants to understand this drop in activation they have observed for the last three weeks. They need your help: how to distinguish the signal from the noise? Because fluctuations always occur...

- The Product Manager of Cards wants to understand the success of this new "top-up" feature that the team recently delivered. You lead a cross-team effort to set up and track the success of this feature.

- We have recently released a new pricing structure. The Finance team wants you to assess what default billing option (annual or monthly) would generate more revenue and increase engagement.

- The strategy team needs to understand what are the levers that increase customer retention. Does data bring relevant insights into this question?

- You mentor a great Data Analyst who joined recently while providing a workshop on Causal Inference to the wider Data team, y