Senior Data Analyst

Senior Data Analyst Join to apply for the Senior Data Analyst role at Qonto.Our MissionCreating the freedom for SMEs to succeed in business and beyond, by delivering Europe's leading finance workspace.We combine business-class tools (seamless invoicing, spend management, and pre-accounting) with unwavering 24/7 support, designed to help businesses breeze through all finance matters.Our JourneyFounded by Alexandre and Steve in July ****, Qonto has rapidly gained trust, serving over 600,000 customers.Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French rankingOur ValuesCustomer focus – Prioritize customers in everything you doOwnership – Own your part, get things doneTeamwork – Make (team)work easyMastery – Continuously raise the barIntegrity – Always do what's right, and respect peopleOur BeliefsAt Qonto, we're committed to fostering a welcoming environment where everyone can thrive.We evaluate applicants based solely on skills and potential, ensuring diversity with 55% international team members, 44% women, and 20% parents.Discover the steps we took to create a discrimination-free hiring process.Role OverviewHelp Qonto's teams make data-informed decisions as we scale to serve one million SMEs by ****.Depending on your profile and preferences, you will join either our Business Analytics team (supporting Finance, Strategy, Customer Care, and Operations) or our Product Analytics team (supporting Product Managers and Product teams across our product portfolio).As a Data Analyst at Qonto, you willDeliver end-to-end analytics projects: scope requests with stakeholders (Product, Finance, Operations, Strategy), build dashboards, run analyses and experiments, and conduct discovery work to inform business decisions.Own the data needs for one or more business areas or product domains, becoming a trusted data partner for your stakeholders.Build and maintain dashboards following best-in-class practices, including contributing to our ongoing BI consolidation effort to reduce dashboard sprawl and improve data discoverability.Ensure adoption of your work: make sure your analyses and dashboards are understood, used, and lead to concrete actions by your stakeholders.Contribute to enabling self-service analytics by creating clear data models and documentation that help stakeholders answer their own questions.What You Can ExpectBusiness Analytics: Support Corporate and Operations teams (Finance, Strategy, Customer Care, Operations).The work is currently 70% BI (building and maintaining dashboards) and 30% ad-hoc analysis.You will help business leaders understand performance, identify opportunities, and make strategic decisions.Product Analytics: Support Product stakeholders (Product Managers, Designers, Heads of Product).The team is in a consolidation phase, spending *****% of time on BI work and moving toward more strategic analysis work (A/B testing, discovery, impact measurement).You will help product teams understand user behavior and validate product decisions.How we work: We follow the Qonto Way methodology, emphasizing one-piece flow, value analysis, and value engineering.You will work in close partnership with your stakeholders, attending team meetings and building trusted relationships.We value ownership: success means not just publishing a dashboard, but ensuring it drives business value.Current focus: Both teams are working on improving data discoverability and self-service capabilities, consolidating dashboards to reduce sprawl, and building scalable analytics solutions that drive measurable business impact.About Your Future ManagerAlma: Manages the Corporate & Ops Business Analytics team and brings strong expertise in supporting corporate functions with data.She values pragmatic problem-solving, clear communication, and helping her team members develop both technical and stakeholder-management skills.Ida: Manages the Product Analytics team and brings deep expertise in building analytics capabilities in fast-growing tech companies.She is passionate about enabling product teams through data and focuses on helping her team members grow their impact and autonomy.Both managers report to Daniele, Head of Data, who oversees the entire Analytics function and ensures alignment across teams.During the interview process, we will discuss which team is the best fit based on your interests and experience.About YouSQL proficiency: Comfortable writing complex SQL queries to extract, transform, and analyze data.Experienced with large datasets and modern data warehouses.BI experience: Built dashboards in tools like Power BI, Tableau, or Looker.Understands data visualization best practices and can turn data into clear, actionable insights for business users.Stakeholder management: Worked with multiple stakeholders in a fast-paced environment, managed competing priorities, and delivered work on time.Communicates proactively and builds trust through consistent delivery.Ownership mindset: Doesn't settle for "dashboard published" or "analysis delivered."Follows up with stakeholders to ensure work is adopted and drives decisions, iterating based on their feedback.Project delivery and communication: Breaks down projects into clear steps, manages timelines, and communicates progress regularly.Flags blockers early and proposes solutions.PerksOffices in Paris, Berlin, Milan, Barcelona, and BelgradeCompetitive salary packageMeal vouchersPublic transportation reimbursement (part or global)Health insurance (depending on country)Well-being initiatives: access to Moka Care for mental health and great offers for sports and wellness activitiesProgressive disability and parenthood policy; childcare benefits with selected partnersMonthly team eventsOur Hiring ProcessInterviews with your Talent Acquisition Manager and future managersRemote or live exercise to demonstrate your skills and give you a taste of Qonto lifeOn average, our process lasts 20 working days and offers usually follow within 48 hours.To learn more about us: Qonto's Blog | Les Échos I L'Usine Digitale | Courrier CadresAt Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist.Apply regardless of the boxes you tickWho knows?You may have the missing piece of the puzzle we've been searching for.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation Technology#J-*****-Ljbffr