Senior Product Analyst 200297

This is an opportunity to take ownership of product analytics within a fast-growing digital platform business. You'll work at the centre of product decision‑making, influencing customer journeys, experimentation strategy, and revenue growth while helping shape how data is used across the organisation.

They are a scaling consumer-focused technology business with a large international customer base and a highly engaged online community. Their product is used by customers across multiple markets, creating complex user journeys and rich analytical challenges. Data plays a critical role in business strategy, and they are continuing to invest heavily in their analytics capabilities. With a remote‑first culture and ambitious growth plans, they offer an environment where analytics can have a direct and measurable impact.

• Own product analytics across key customer acquisition, conversion, activation, and retention journeys
• Identify opportunities for growth through proactive analysis and actionable recommendations
• Partner with Product, Commercial, and Leadership teams to influence strategic decisions
• Define analytics requirements, tracking plans, success metrics, and guardrail metrics for new product launches
• Design, execute, and evaluate A/B and multivariate experiments from hypothesis through to business recommendations
• Develop dashboards and self‑service reporting solutions to improve access to insights
• Analyse customer behaviour and product performance to uncover drivers of growth and areas for optimisation
• Challenge assumptions using data and provide evidence‑based recommendations
• Support and mentor analysts, helping to elevate experimentation and analytics best practice across the team

• Strong commercial experience in product analytics within a subscription, marketplace, SaaS, platform, or digital product environment
• Advanced SQL skills with the ability to deliver end‑to‑end analysis independently
• Experience working with product analytics and event tracking tools such as Amplitude, Mixpanel, Segment, or similar
• Strong knowledge of experimentation methodologies, including A/B testing, multivariate testing, and statistical analysis
• Deep understanding of product metrics including conversion, activation, engagement, retention, and churn
• Ability to communicate complex analytical findings clearly to both technical and non‑technical stakeholders
• Experience influencing product strategy through data‑driven recommendations
• A proactive and curious approach, with the ability to identify opportunities independently
• Exposure to Python, R, dbt, or AI‑enabled analytics workflows would be advantageous

• Fully remote working across the UK
• Private healthcare and wellbeing support
• Home office allowance and equipment package
• Learning and development investment
• Enhanced annual leave allowance
• Regular team events and company‑wide meetups
• Clear opportunities for progression within a growing data function