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Senior Data Analyst - Acquisition

Pennylane
CompanyPennylane
CategoryData & Analytics
LocationParis
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted16 Jan 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)? Are you looking for a work environment that values trust, proactivity, and autonomy? Are our Engineering principles https://medium.com/pennylane-engineering/our-engineering-principles-ab0613a0574d aligned with your vision? Then Pennylane is the right place for you !   Our vision We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones). We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while providing them with access to key financial information to assist in making the best decisions for their business.   About us Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)   In 5 years of existence, we’ve managed to : 💻 Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants 💰 Raise a total of €400 millions, including from Sequoia, the famous fund from the Silicon Valley who invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal and much more... 👨‍👩‍👧‍👦 Grow from 7 cofounders to 1000 happy Pennylaners : we’re now recognized as one of the greatest places to work in France (and also remotely), with a 4.6/5 rating on Glassdoor https://www.glassdoor.fr/Avis/Pennylane-France-Avis-E4171708.htm. 🌍 Build an international environment with more than 25 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe 🤝 Earn the trust of thousands of customers and accounting firms and obtain outstanding ratings https://www.google.com/search?q=pennylane&ei=O9pOYvm0Co-blwSmhKmIAw&ved=0ahUKEwi5vsWL-4H3AhWPzYUKHSZCCjEQ4dUDCA4&uact=5&oq=pennylane&gs_lcp=Cgdnd3Mtd2l6EAMyDQgAEIAEELEDEIMBEAoyCwguEIAEEMcBEK8BMgcIABCABBAKMgcIABCABBAKMgUIABCABDIFCAAQgAQyBQgAEIAEMgcIABCABBAKMgcIABCABBAKMgcIABCABBAKOgcIABBHELADOgkIABCwAxAKEEM6CgguEMcBEK8BEAo6BggAEBYQHjoICAAQFhAKEB46DQguEIAEEMcBEK8BEApKBAhBGABKBAhGGABQ7QFY6wVgugdoAXABeACAAUiIAbMCkgEBNZgBAKABAcgBCcABAQ&sclient=gws-wiz 🚀 Already more than 900,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!   WHY this position is of utmost importance to reach our mission At Pennylane, every decision that is not backed by data is likely to be challenged (when data is available of course). This culture is embraced by the leadership team, and actively promoted everywhere. The role of the data team is to make this possible by treating data like a production asset, making it available company-wide, and using it proactively to improve Pennylane’s user experience. By joining us as a Senior Data Analyst, you will have a pivotal role in large projects, bringing your business sense and analytical thinking to help us meet our high delivery standards.   HOW you will contribute to the company As a Senior Data Analyst, you will be part of the Science & Analytics team focused on Acquisition (5+ people), inside the Data department (40+ people). You will proactively use data to identify opportunities to grow our business or improve our processes. You will be a real sparring partner for Sales & Operation leaders, feed their strategy by anticipating the most important business questions, and leverage your data & statistical skills to answer them. You will steer decision‑making in your business area through rigorous analyses, navigating ambiguity and collaborating across domains when needed. You will drive our self-service approach to analytics, by understanding our colleague’s needs in their use of data, and promoting a data driven culture. The Science & Analytics team is also fully in charge of creating data models in the Data Warehouse (using dbt). You will contribute to shaping the Data Engineering roadmap to delive
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