> Markdown version of [/jobs/ext/3213781-data-analyst](https://www.wearedevelopers.com/jobs/ext/3213781-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Pennylane - **Location:** France (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Information Engineering, Data Infrastructure, Data Visualization, Data Warehousing, Python (Programming Language), Standard Sql - **Published:** September 29, 2026 - **Apply:** https://startup.jobs/senior-data-analyst-acquisition-pennylane-sas-10226562 ## About the Role * Have had previous experiences as Data Analyst, ideally in scale-up environments (5-6 years) * Are seasoned working with SQL, DBT and data visualization tools * Are comfortable collaborating with cross-functional stakeholders beyond the data team * You have a strong business acumen and are seen as a trusted partner by your business stakeholders * Have strong communication skills and are capable of articulating your ideas clearly * Are Fluent in French & English, To speak English (level is assessed and appreciated according to the department you're applying to) -To be energized by an ever-shifting work environment -To be highly collaborative (within your team or other stakeholders) -Sufficiently experienced to prioritize business-led actions on your day to day activity ## 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? 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., 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 deliver the best experience for your colleagues on the data platform. WHAT you can expect from your life at Pennylane Within one month: * You will learn everything about our company, our teams, and our vision during the first onboarding week. * You will get familiar with our stack, and have delivered a few small projects which will give you a concrete taste of our tools & processes. * You will be given time to meet your future stakeholders, and gain a deep knowledge of our product and operations. Within 3 months: * You will be fully in charge of supporting your area of the business, prioritizing your tasks with decision makers. * You will be confortable with our technical stack (Python, Redshift, DBT). * You will contribute to larger cross-company projects. Within 6 months: * You will proactively contribute to the team's roadmap. * You will work with engineers and data practitioners on improving our stack and data platform. * You will share your learnings and best practices within the team. And beyond: the data team will continue growing with the company Which means: * Opportunities to recruit and mentor new team members * Increased accountability in project leadership * Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently.