Senior Data Analyst

Senior Data Analyst – Member Experience

Salary: Up to £65,000 + equity + 10% bonus

Location: Fully remote (UK) – quarterly team meetups

The Company:

We’re working with a fast-scaling, PE-backed consumer tech platform connecting a global membership community through a trusted exchange model. With a recent investment round and a valuation over $100M, the business is in high-growth mode with an exciting exit planned in the next 1–2 years – making equity a meaningful, near-term benefit. The team is close-knit, values-led, and passionate about the product and community.

The Role:

As a Senior Data Analyst in the Member Experience team, you’ll turn behavioural data into actionable insights that directly influence product and customer strategy. Your work will help reduce churn, increase renewals, and improve lifetime value. You’ll also drive experimentation, support data enablement, and help embed a truly data-led approach across the business.

What You’ll Do

• Lead analysis on churn, retention, and lifetime value for a membership-based product.
• Translate complex data into clear stories and recommendations for product, UX, and leadership.
• Design and interpret experiments (A/B tests) to validate hypotheses and improve the product.
• Build dashboards and reporting tools to track member performance and engagement.
• Collaborate with data engineering, analytics, and product teams to enhance insight delivery.
• Support the business in becoming more data-led through enablement and storytelling.

What We’re Looking For

• Experience in product and customer analytics, ideally in subscription, marketplace, or consumer tech.
• Strong SQL skills and hands-on experience with analytical databases.
• Understanding of churn, retention, LTV, and experimentation frameworks.
• Experience with BI/data visualisation tools (Mode preferred, others acceptable).
• Familiarity with Amplitude, Python, R, or dbt is a plus.
• Confident communicator able to translate data into actionable insights.
• Self-starter who thrives in a fast-paced, scaling environment.