Senior Fullstack Data Analyst – Commercial analytics

🔥 12 hours ago

🌐 United Kingdom, Denmark, +2 more countries – Remote

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⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

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Logo of Pleo

Pleo

501 - 1000 employees

Founded 2015

🤝 B2B

☁️ SaaS

💳 Fintech

💰 $42.9M Debt Financing - Pleo on 2024-04

B2B • SaaS • Fintech

Pleo is a spend-management platform for businesses that provides company cards, automated expense management and configurable spend controls. Its product messaging highlights AI-powered reviews, card limits, approval flows and other tools to manage corporate spending for small, medium and enterprise customers. Pleo is delivered as software to help finance teams control, track and automate business expenses and card usage.

📋 Description

• Build and maintain the analytics layer for customer acquisition, onboarding, growth, and retention • Develop propensity models, growth dashboards, activation funnels, and commercial GTM reporting • Partner with Customer Experience, Sales, and Success teams to deliver dashboards and analyses for operational decisions • Analyse customer behaviour, commercial performance, and retention patterns to identify trends, risks, and growth opportunities • Support onboarding and self-serve product teams with activation, engagement, and friction insights • Design and analyse experiments to test growth hypotheses and optimise commercial metrics • Build analytics designed for self-serve and AI access • Contribute metric definitions and domain knowledge to the semantic layer • Work with Data Services & Governance to ensure consistent GTM metrics across BI and AI tools • Share knowledge, maintain standards, and contribute to the data community • Establish core analytics-layer improvements and deliver analysis or tooling that influences commercial decisions

🎯 Requirements

• Proven experience working across both insights generation and analytics engineering in a SaaS environment; fintech experience is a plus • Solid proficiency with Python, SQL, and dbt • Experience with BigQuery, including complex transformations and performance considerations • BI tool proficiency such as Looker and LookML • Understanding of GTM metrics, customer lifecycle stages, and revenue outcomes • Strong data visualisation skills • Understanding of analytics outputs for AI tools and self-serve analytics • Comfort with Git-based workflows and CI/CD practices for analytics code • Strong ownership and delivery discipline • Solid understanding of data contracts, including schema agreements, ownership, and SLAs • Applications must be submitted in English • Must be legally allowed to work in the selected location

🏖️ Benefits

• Remote work arrangement • Opportunity to work with colleagues across over 100 nationalities • Accessibility accommodations during the interview process • Future job opportunity contact consent for up to 2 years (optional)

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