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’.
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. Growth Intelligence owns the commercial data layer that powers Pleo's GTM engine — acquisition, retention, propensity modelling, and 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 Staff Full Stack Data Analyst, you are the senior technical voice for commercial analytics at Pleo. You set the architectural direction for Growth Intelligence's analytics layer, define what good looks like for the team, and shape how GTM data is structured, governed, and consumed by people and increasingly by AI tools.
You bring technical depth, commercial instinct, and organisational reach in equal measure. You will report to the Senior Manager of the Growth Intelligence team. You will partner closely with senior commercial leadership, Customer Experience, Sales, and Customer Success teams; Data Scientists and Analytics Engineers across the broader data organization; and Data Services & Governance on standards and semantic layer ownership. You will be a visible, senior presence across the entire data community at Pleo.
Identify and resolve upstream data quality issues at source,



treating quality gaps as governance and contract problems, articulating the business risk they create, and driving the org-level changes needed to fix them durably.
Define canonical GTM metric definitions in the semantic layer, in partnership with Data Services & Governance while ensuring RevOps, CS, CX, BI tools, and AI tooling are working from the same source of truth, and holding that standard over time.
Partner with senior commercial leadership to shape the questions worth answering.
Lead in-depth analysis of customer behaviour, commercial performance, and retention patterns.
Contribute to engineering and analytical standards across the broader data community, participating in cross-team reviews and helping define what production-grade analytics looks like at Pleo.
For extra context, you'll also be leveraging technologies including SQL, dbt, BigQuery, Looker, Amplitude, HubSpot, Zuora, or Vitally.
Prior experience operating at Staff or Lead level in data analytics or analytics engineering roles in a fast-paced SaaS organisation.
Expert knowledge of SQL and dbt: you write clean, tested, well-architected models and can make and defend layering decisions for a team, not just yourself.
Solid proficiency with Python for data analysis and manipulation.
BigQuery fluency, including performance optimization and cost considerations at scale.
Mastery of a modern BI tool such as Looker or Omni.
Commercial specialisation: you have worked in a commercial analytics focused role and understand GTM metrics, customer lifecycle economics, and how data connects to revenue outcomes at a strategic level.
Systems thinking on data quality: you approach quality gaps as governance questions, identify root causes upstream, and drive fixes that last rather than patches that don't.
Strong understanding of data contracts: schema ownership, SLAs, and the organizational dynamics required to make producer-consumer agreements stick.

📌 Staff Fullstack Data Analyst (Commercial Analytics) (Madrid)
🏢 Pleo
📍 Madrid