Data Analyst – Subscription Product | Remote-First with London HQ

• Location: UK (remote-first with occasional London HQ visits)
• Industry: Digital Products · SaaS · Subscription Services

Own Strategy and Shape Product Impact with Data

Join a fast-scaling subscription platform as their embedded Data Analyst within a cross-functional product tribe. Reporting directly to the Head of Data Science & Insights, you’ll drive insights across user engagement, onboarding optimization, and strategic retention—all with full ownership of your analytics roadmap.

This role goes far beyond dashboards: you’ll collaborate daily with Product Managers, Designers, and Engineers to surface real-time opportunities and inform experiments. If you’re comfortable leading analysis without waiting for ticket queues, and thrive on solving product challenges with data, we want to hear from you.

What You’ll Do

• Deep-dive into user behavior to optimize free trials and onboarding flows
• Design and analyze A/B tests and experimental frameworks for product development
• Build and maintain DBT pipelines and scalable data models
• Partner with engineers to ensure accurate Snowplow tracking
• Drive cross-functional initiatives across product, engineering, and design
• Influence decisions through proactive reporting and insight generation

What You Bring

• Advanced SQL proficiency—daily query writing expected
• Background in digital product analytics, preferably with subscription-based platforms
• Experience with A/B testing and experimental design (preferred)
• Knowledge of user onboarding and retention strategies
• Python proficiency is a plus, but not required
• High ownership mindset and ability to operate autonomously in a product tribe

What You’ll Get

• Strong learning & development culture with protected upskilling time
• Internal progression support and career mentoring
• Flexible work environment with remote-first structure
• Collaboration-driven team solving real product challenges
• Strategic case study (no coding, approach-focused)
• Technical interview with two team members
• Culture fit conversation with cross-functional stakeholder

This is an early-stage hiring opportunity—step into a high-impact seat at the start. Your analysis won’t just be seen, it will shape product direction.

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