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 1,700 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 People Data Analyst to help Qonto’s People team turn HR data into clear insights and better-informed decisions.

Reporting to Mélodie Moulin, you will work closely with your People Systems teammates, HRBPs, and partners across People and Finance. You’ll combine hands‑on analysis with an understanding of HR topics to answer practical questions, improve dashboards and reporting, and help stakeholders make better use of People data.

• Turn People data into actionable insights. Explore topics such as turnover, absenteeism, and performance, investigate trends, and communicate findings through clear analyses and concise recommendations.
• Build and improve dashboards and reporting. Create reliable, easy‑to‑use reports, maintain consistent metric definitions, and help stakeholders understand what the data tells them.
  Keep People data reliable and usable. Validate data, document calculations, and contribute to mandatory reporting while following established access, confidentiality, and GDPR requirements.
• Support HRBPs in their day‑to‑day decisions. Translate their questions into relevant analyses, discuss which KPIs are most useful, and help them become more autonomous through documentation and practical guidance.
• Contribute to workforce and talent analyses. Prepare datasets, reports, and analytical inputs for topics such as headcount planning, compensation reviews, and talent reviews, in collaboration with the team.
• Use AI to improve how you work. Apply AI to relevant analytical and reporting tasks, test practical ways to save time, and check the accuracy and reliability of outputs.

• Relevant experience in People Analytics, HR reporting, or a data analytics role with substantial exposure to HR topics, ideally within a tech company or scale‑up. A solid understanding of HR processes. Compensation reviews, talent reviews, and HRBP activities are familiar territory. You understand the questions behind a reporting request and can discuss whether a metric addresses them.
• Hands‑on analytical skills. You’re comfortable using SQL, Excel, and BI tools to combine datasets, check calculations, investigate trends, and build clear dashboards. Experience with HRIS reporting, particularly Workday, is a plus.
• Clear communication and sound judgment. You can explain findings to non‑technical stakeholders, ask useful questions, and distinguish what the data supports from what still needs investigating.
  Reliable delivery and collaborative working habits. You can progress independently on defined analyses, keep stakeholders informed, and flag blockers or competing priorities…