Staff Fullstack Data Analyst (Commercial Analytics)

Pleo
United Kingdom, Denmark, Portugal, Spain
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Systems thinking","Mentoring","Stakeholder communication","Problem-solving","Risk communication"]

Own the architectural direction for commercial analytics that power the GTM engine, including acquisition, retention, propensity modeling, and customer health. Define canonical GTM metric definitions in the semantic layer, improve upstream data quality through durable governance and data contracts, and lead experimentation practices with statistical rigor. Provide senior leadership across analytics, mentor analysts through reviews and knowledge sharing, and design analytics that work reliably for self-serve and AI consumption.

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Pleo
Pleo
1 day ago

Staff Fullstack Data Analyst (Commercial Analytics)

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Last checked: 2 hours agoStatus: Live

Job Summary

Own the architectural direction for commercial analytics that power the GTM engine, including acquisition, retention, propensity modeling, and customer health. Define canonical GTM metric definitions in the semantic layer, improve upstream data quality through durable governance and data contracts, and lead experimentation practices with statistical rigor. Provide senior leadership across analytics, mentor analysts through reviews and knowledge sharing, and design analytics that work reliably for self-serve and AI consumption.
Location: United Kingdom, Denmark, Portugal, Spain
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own the architectural direction of the analytics layer for acquisition, onboarding, growth, and retention, making systemic modeling and governance decisions.
  • •Identify and resolve upstream data quality issues at the source, framing quality gaps as governance and contract problems and driving durable org-level fixes.
  • •Define canonical GTM metric definitions in the semantic layer so RevOps, CS, CX, BI tools, and AI tooling share a consistent source of truth.
  • •Lead experimentation approach by designing experimentation governance with statistical rigor, scalable methodology, and clear success criteria.
  • •Mentor and develop analysts via code reviews and design discussions, and contribute to engineering/analytical standards across the broader data community.

Pay and Benefits

Perks:Health InsuranceMeal AllowanceParental LeaveRemote Work

Key Requirements

  • •Prior experience operating at Staff or Lead level in data analytics or analytics engineering in a fast-paced SaaS organisation.
  • •Expert knowledge of SQL and dbt, writing clean, tested, well-architected models and making layering decisions for a team.
  • •Solid proficiency with Python for data analysis and manipulation.
  • •Comfort with Git-based workflows and CI/CD practices for analytics code.
  • •Commercial specialization in commercial analytics/GTM metrics and customer lifecycle economics, with systems thinking for data quality and data contracts.
Experience:SaaSCommercial analyticsGTMRevOpsCustomer analyticsData governance
Skills:Systems thinkingMentoringStakeholder communicationProblem-solvingRisk communication
Tech Stack:SQLDbtPythonGitCI/CDBigQueryLookerOmniAmplitudeHubSpotZuoraVitallyMyndUp

Company Brief

Pleo
Provides spend management software that helps businesses issue company cards, control expenses, automate reimbursements, and track team spending in one platform. Aims to simplify financial workflows for modern companies.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Copenhagen, Denmark
Founded: 2015
WebsiteLinkedIn