Staff Fullstack Data Analyst (Commercial Analytics)

Overview

As Staff Full Stack Data Analyst, you will steer the analytics architecture for Pleo’s Growth Intelligence, enabling smarter GTM decisions. You’ll define data structures, govern metrics, and ensure reliable data for humans and AI tools. You’ll collaborate with senior leaders across RevOps, CS, CX, and product teams, turning complex problems into scalable solutions. This role blends technical leadership with business impact, contributing to Pleo’s mission of simplifying spend management at scale. You’ll operate at the intersection of analytics, governance, and strategic decision-making.

Pay / Benefits

• your own Pleo card
• catered meals or lunch allowance
• private healthcare options
• 25 days of annual leave + public holidays
• hybrid and fully remote options
• mental health and wellbeing support (MyndUp)

Responsibilities

• Own the analytics layer architecture for GTM activities (acquisition, onboarding, growth, retention)
• Resolve upstream data quality issues and drive durable fixes
• Define canonical GTM metrics in the semantic layer and enforce a single source of truth
• Partner with commercial leadership to shape important questions and analyses
• Lead in-depth analyses of customer behavior and commercial performance
• Design and govern experimentation with rigorous statistical methodology
• Build self-serve analytics and AI-ready data products
• Mentor analysts through code reviews and knowledge sharing
• Contribute to engineering/analytical standards across the data community

Key requirements

• Staff or Lead level experience in data analytics or analytics engineering in a fast-paced SaaS organization
• Expert SQL and dbt skills with well-architected modeling
• Proficiency in Python for data analysis
• Git-based workflows and CI/CD for analytics code
• BigQuery fluency with performance and cost optimization
• Mastery of Looker or Omni as a BI tool
• Commercial analytics experience focusing on GTM metrics and revenue outcomes
• Systems thinking for data quality and governance
• Understanding of data contracts, SLAs, and producer-consumer agreements
• Experience mentoring analysts and influencing senior GTM stakeholders
• Ability to operate across architecture, analysis, experimentation, stakeholder management, and mentoring

• stakeholder management
• communication with non-technical leaders
• mentoring and coaching
• SQL
• dbt
• BigQuery

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