Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. We will not review any applications before the closing window so please don't rush and take the time you need to submit a high quality application. Growth Intelligence owns the commercial data layer that powers Pleo's GTM engine from acquisition, retention and, propensity modelling to customer health. The team supports RevOps, Customer Experience, Customer Success, and senior commercial leadership with the data and models they need to make faster, smarter decisions. As a Senior Full Stack Data Analyst, you sit at the intersection of commercial analytics and customer intelligence. You build end-to-end analytics solutions (retention models, growth analyses, activation funnels, and GTM dashboards) that directly influence how Pleo acquires, onboards, retains, and grows its customer base. You will report to the Senior Manager of the Growth Intelligence team. You will also work closely with the onboarding and self-serve product teams as well as colleagues across Growth Intelligence and the broader data community, including Data Scientists in your team and Analytics Engineers who own the modelling layer your analysis depends on. For extra context, you'll also be leveraging technologies including SQL, dbt, BigQuery, Looker, Amplitude, HubSpot, Zuora, or Vitally. Build and maintain the analytics layer for customer acquisition, onboarding, growth, and retention: propensity models, growth dashboards, activation funnels, and the commercial reporting GTM teams depend on day-to-day. Partner with Customer Experience, Sales,



and Success teams to understand their data needs and deliver dashboards and analyses that drive operational decisions. Conduct in-depth analysis of customer behaviour, commercial performance, and retention patterns to surface trends, risks, and growth opportunities (owning the insight and narrative, not just the output). Support the onboarding and self-serve product teams with data on activation, engagement, and friction, translating product behaviour into insights that improve the customer journey. Design and analyse experiments to test growth hypotheses and optimise key commercial metrics within Pleo's experimentation methodology, ensuring statistical rigour. Contribute metric definitions and domain knowledge to the semantic layer, working with Data Services & Governance to ensure GTM metrics are consistently defined across BI tools and AI tooling. Engage with data colleagues across Intelligence to share knowledge, maintain standards, and contribute to a culture of craft. Solid proficiency with Python, SQL and dbt: you write clean, tested models, understand layered architecture, can manipulate and analyse data to uncover insights. BigQuery experience, including complex transformations and performance considerations. BI tool proficiency such as Looker and LookML Commercial mindset: you understand GTM metrics, customer lifecycle stages, and how data connects to revenue outcomes. Strong data visualisation skills: you build dashboards that GTM stakeholders actually use, not just ones that look good. Strong ownership and delivery discipline:



you manage multiple projects with close attention to detail and follow through. Solid understanding of data contracts: schema agreements, ownership, and SLAs between data producers and downstream consumers. This role requires you to move between analysis, analytics engineering, experimentation, and stakeholder management. You are not comfortable engaging directly with demanding commercial stakeholders and translating their needs into data solutions without a fully defined brief. You'll often need to shape the question as much as answer it. The commercial data environment here is genuinely complex. Definitions evolve, ownership is shared, and the right answer sometimes requires negotiation as much as analysis. You'll have contributed real metric definitions to the semantic layer, agreed with Data Services & Governance on what canonical GTM metrics actually are, and made that stick downstream. You'll have a genuine working relationship with the commercial stakeholders you serve — RevOps, Customer Experience, Customer Success — and they'll have a clear sense of what to bring to you and what to expect back. And you'll have shipped at least one piece of analysis or tooling that changed a commercial decision or enabled something that wasn't possible before, not just improved the plumbing, but unlocked presente use. Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office ~ 25 days of annual leave + public holidays (additional days may apply in select countries based on local standards). ~ For our Team, we offer both hybrid and fully remote working options ~ A 30-minute chat with our Talent Partner to discuss the role and your background. # An async core skills test assessing your SQL fundamentals # A live technical case interview designed to assess your technical expertise around data modeling, manipulation and insights generation.

📌 Senior Fullstack Data Analyst (Commercial Analytics) (España)
🏢 Creandum
📍 España