Staff Fullstack Data Analyst (Commercial Analytics)
New
P
PleoSaaS, Spend Management
Location: London; Secondary Locations: Lisbon, Copenhagen, Madrid. For our Team, we offer both hybrid and fully remote working options.Full-TimeStaff
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- PythonSQLGitCI/CDBigQuerydbtLooker
Requirements
- Prior experience operating at Staff or Lead level in data analytics or analytics engineering roles in a fast-paced SaaS organization.
- Expert knowledge of SQL and dbt, including writing clean, tested, and well-architected models.
- 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 specialization with deep understanding of GTM metrics and customer lifecycle economics.
- Systems thinking approach to data quality, governance, and schema ownership.
- Experience designing analytics outputs that serve AI tools and self-serve access.
- Proven track record of advising senior GTM stakeholders and communicating complex data risks.
- Experience mentoring analysts and raising team analytical capability.
- English fluency is required.
Responsibilities
- Own the architectural direction of the analytics layer for customer acquisition, onboarding, growth, and retention.
- Identify and resolve upstream data quality issues, treating quality gaps as governance and contract problems.
- Define canonical GTM metric definitions in the semantic layer in partnership with Data Services & Governance.
- Partner with senior commercial leadership to identify and address complex business questions.
- Lead in-depth analysis of customer behavior, commercial performance, and retention patterns.
- Design and govern the team's approach to experimentation to ensure statistical rigor.
- Build analytics architected for self-serve and AI access, ensuring data is structured, documented, and reliable.
- Mentor and develop analysts through code reviews and design discussions.
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