Data Analyst H / F

  • Data
  • Paris, France

Data Analyst H / F

Description du Poste

Trustpair is reshaping the way companies secure their payments. We have built the first solution that helps prevent transfer fraud, which costs $2.5 billion annually. Our clients gain efficiency and peace of mind.

Created four years ago, we are a team of 70 people working with large accounts such as Décathlon, Air Liquide and Bolloré. We are looking for talented people to help us tackle our next challenges !

Integrated into the Data Team with experienced people, you will help to define a scalable and efficient Data Analysis strategy that meets the needs of our internal teams!

You will work with the Product, Ops and Customer Success teams, help improve the productivity of our operations on a daily basis by allowing them to access the KPIs they need and improve the Product to provide the best service to our clients.

We’re using SHAPE UP METHOD which allows you to work more efficiently :

🔥 You can take a part in innovation and creativity ;
🔥 5-week delivery cycle ;
🔥 Full responsibility, full leadership ;
🔥 Work from request to delivery ;
🔥 Resolving specks from scratch ;
🔥 Team progress tracked by task ;
🔥 Reflexion, Design Thinking, cross-functional work ;


💡 Work on designing and implementing a Data Analysis strategy with the team

  • Work with the Data and internal teams to build and improve the Data Warehouse and enhance our Data usage
  • Work on improving the Data Analysis organization and the tools stack that you will use

💡 Design and build data visualization

  • Implementation and monitoring of Product metrics
  • Implementation of operational performance indicators
  • Enable efficient analysis and facilitate strategic decision-making

💡 Analyze and improve the use of data in the Product

  • Analyze, structure and segment the data available in the application
  • Understand and challenge the use of customer and internal data
  • Formulate recommendations based on the analysis



  • Min. 3 years of XP + at least one XP as a Data Analyst on a SaaS product ;
  • Analytical and rational, good knowledge in data processing and visualization ;
  • Good SQL skills, knowledge of Python ;
  • Good Knowledge of at least one data visualization tool ;
  • Curiosity, dynamism and ability to adapt to new challenges ;
  • Ability to simultaneously manage several projects and collaborate with any type of interlocutor (Product & Tech, Customer Success, Operations, etc.) ;


  • Call with Maja, Talent Partner (30 min)
  • Call with Simon, CTO (1h)
  • Technical test and Coffee fit with 2 members from the Data Team (2h)