Staff Fullstack Data Analyst (Commercial Analytics)

Role Overview

As a Staff Full Stack Data Analyst, you will be the senior technical voice for commercial analytics at Pleo, setting the architectural direction for the analytics layer, defining canonical GTM metric definitions, and driving systemic decisions about how models are structured and governed.

What You Will Do

You will own the architectural direction of the analytics layer, identify and resolve upstream data quality issues, define canonical GTM metric definitions, partner with senior commercial leadership to shape the questions worth answering, and lead in-depth analysis of customer behaviour, commercial performance, and retention patterns.

Why It Might Be a Fit

This role is a good fit for you if you excel at turning complex problems into well-structured solutions, are comfortable navigating ambiguity, and can generate clarity in a fast-paced SaaS organisation.

Requirements

• 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
• 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: 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: 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 organisational dynamics required to make producer-consumer agreements stick
• Understanding of how analytics outputs serve AI tools and self-serve analytics as first-class consumers
• 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

Benefits

• Your own Pleo card (no more out-of-pocket spending!)
• Lunch is on us for your work days – enjoy catered meals or receive a lunch allowance based on your local office
• Comprehensive private healthcare – depending on your location, coverage options include Vitality, Alan or Médis
• 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
• We use MyndUp to give our employees access to free mental health and well-being support with great success so far
• Paid parental leave – we want to make sure that we’re supportive of families and help you feel that you don’t have to compromise your family due to work

Tagged as: Data Analysis