Senior Data Analyst

Senior Data Analyst

London (Hybrid) | Up to £75,000 + Benefits

Looking for an opportunity to shape subscription growth and customer retention through data? This is a chance to join a fast-growing digital business where your insights will directly influence product strategy, audience engagement, and commercial performance. You'll work with large-scale user data, build predictive models, and help drive critical decisions across the organisation.

The Company

They are a technology-led digital business with a large global audience and a strong focus on innovation, data, and customer experience. Operating at scale, they use data to inform product development, subscription growth, and engagement strategies. Their collaborative environment brings together teams across analytics, product, marketing, and engineering to solve complex challenges and deliver measurable impact.

The Role

• Analyse the end-to-end subscription funnel to identify conversion opportunities and areas for optimisation.
• Deliver insight into customer behaviour, retention trends, and subscriber engagement.
• Develop and enhance Lifetime Value (LTV) and churn prediction models.
• Build dashboards and reporting solutions that monitor key subscription and business metrics.
• Partner with Product, Marketing, and Engineering teams to improve data collection and measurement frameworks.
• Conduct deep-dive analysis to support growth initiatives and strategic decision-making.
• Present actionable recommendations to both technical and non-technical stakeholders.
• Support experimentation and measurement strategies to evaluate business performance.

Your Skills & Experience

• Strong commercial experience in data analysis, customer analytics, lifecycle analytics, or subscription analytics.
• Advanced SQL skills with experience working in cloud-based data environments.
• Experience building analytical datasets, data models, or data pipelines.
• Strong understanding of retention analysis, cohort analysis, experimentation, and predictive modelling.
• Experience with BI and data visualisation tools such as Looker Studio, Power BI, or similar.
• Ability to communicate complex findings clearly and influence business stakeholders.
• Experience working cross-functionally within product, marketing, or growth-focused teams.
• Exposure to Python or R for advanced analytics is beneficial.
• Experience within subscription, membership, media, digital product, or customer-focused environments is advantageous.

How to Apply If you're a commercially minded Senior Data Analyst with a passion for customer analytics, retention, and subscription growth, apply today to learn more about this opportunity.