Senior Full-Stack Data Analyst — Commercial Analytics (Remote)

Creandum

Madrid

Híbrido

EUR 90.000 - 130.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Pleo card
Lunch on us
Private healthcare
25 days annual leave
Hybrid/Remote options
Mental health & wellbeing support
Parental leave

Descripción de la vacante

Pleo is seeking a Staff Full Stack Data Analyst in Madrid to guide the analytics layer for Go-To-Market performance. You will own models, metrics, and governance, collaborating with RevOps, CX, and Sales to drive strategic insights and scalable, self-serve analytics for AI-enabled decision making.

You will mentor analysts, shape data contracts, and push for high-quality data across the organization, partnering with Data Services & Governance to ensure a single source of truth.

Formación

  • 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.
  • Comfort with Git-based workflows and CI/CD practices for analytics code.
  • 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.
  • Understanding of how analytics outputs serve AI tools and self-serve analytics as first-class consumers: you design for machine access as well as human access, and you know why metric consistency becomes critical as AI tooling scales.
  • Track record of advising senior GTM stakeholders around shaping the question as much as answering it, and communicating risk and tradeoffs clearly to non-technical leaders.
  • Experience mentoring analysts and raising team capability

Responsabilidades

  • Own the architectural direction of the analytics layer for customer acquisition, onboarding, growth, and retention.
  • 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.
  • Design and govern the team's approach to experimentation ensuring statistical rigour, scalable methodology, and clear criteria for what constitutes a meaningful result.
  • Build analytics explicitly architected for self-serve and AI access: structured, documented, and reliable enough for business teams, conversational analytics tools, and AI features to consume autonomously.
  • Mentor and develop analysts on the team through code reviews, design discussions, and deliberate knowledge-sharing, raising the collective standard of analytical craft.
  • 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.

Conocimientos

SQL
dbt
Python
Git
CI/CD
BigQuery
Looker
Omni

Educación

Bachelor's degree in a relevant field

Herramientas

dbt
BigQuery
Looker
Amplitude
HubSpot
Zuora
Vitally

Descripción del empleo

Pleo is seeking a Staff Full Stack Data Analyst in Madrid to guide the analytics layer for Go-To-Market performance. You will own models, metrics, and governance, collaborating with RevOps, CX, and Sales to drive strategic insights and scalable, self-serve analytics for AI-enabled decision making.

You will mentor analysts, shape data contracts, and push for high-quality data across the organization, partnering with Data Services & Governance to ensure a single source of truth.

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