Описание: Pleo builds spend solutions that simplify money management for finance teams and employees. Its vision is to help businesses go beyond, and it serves more than 40,000 customers.
Задачи:
•Own the architectural direction of the analytics layer for customer acquisition, onboarding, growth, and retention, including decisions about model structure, layering, and governance
•Identify and resolve upstream data quality issues, explain the business risks they create, and drive durable organizational changes
•Define canonical GTM metrics in the semantic layer with Data Services & Governance, ensuring RevOps, CS, CX, BI tools, and AI tooling use a shared source of truth
•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 experimentation practices, ensuring statistical rigour, scalable methodology, and clear criteria for meaningful results
•Build analytics for self-serve and AI access that business teams, conversational analytics tools, and AI features can use autonomously
•Mentor and develop analysts through code reviews, design discussions, and knowledge-sharing
•Contribute to engineering and analytical standards across the data community through cross-team reviews and production-grade analytics practices
Требования:
•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, including writing clean, tested, well-architected models and defending layering decisions
•Proficiency with Python for data analysis and manipulation
•Experience 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 analytics experience and understanding of GTM metrics, customer lifecycle economics, and how data connects to revenue outcomes
•Ability to identify root causes of data quality issues and drive lasting fixes
•Strong understanding of data contracts, including schema ownership, SLAs, and producer-consumer agreements
•Understanding of how analytics outputs serve AI tools and self-serve analytics, including designing for machine and human access and maintaining metric consistency
•Track record of advising senior GTM stakeholders, shaping questions, and communicating risks and trade-offs to non-technical leaders
•Experience mentoring analysts and raising team capability
•Comfortable navigating ambiguity, moving between technical work, stakeholder and delivery management, and governance strategy, and operating at senior leadership level
•Not a fit for candidates who prefer to specialise in one technical area, need clean problem definitions before starting, or see standards and governance as someone else's responsibility
Условия:
•Your own Pleo card
•Catered meals or a lunch allowance based on the local office
•Comprehensive private healthcare; coverage options depend on location and include Vitality, Alan, or Médis
•25 Days of annual leave plus public holidays; additional days may apply in select countries
•Free mental health and well-being support through MyndUp
•Paid parental leave
