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

Creandum; Madrid; Híbrido; EUR 90.000 - 130.000; Jornada completa

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.