Product Analyst
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-20
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IT/Tech
Data Analyst, Data Science Manager
They are a fast-growing, direct-to-consumer digital platform with a global customer base and a subscription-led model. Their product connects a passionate community and is loved by users around the world. Data is at the heart of how they understand customer behaviour, optimise the end-to-end journey, and unlock new growth opportunities. You will join a collaborative, people-focused team who care about building a product that customers genuinely value.
The RoleAs a Data Analyst, you will be a key partner to teams across the business, helping them make confident, data-driven decisions. You will:
- Extract, model, and validate data to ensure clean, reliable datasets for analysis and reporting.
- Build and maintain clear, intuitive dashboards and reports that make data easy to access across product squads and wider teams.
- Translate complex data into simple, actionable insights that influence product, marketing, and operational decisions.
- Support the design, implementation, and measurement of new product features with robust tracking and well-defined performance metrics.
- Identify opportunities to streamline and automate data processes to improve efficiency and consistency.
- Collaborate closely with product, engineering, and other stakeholders, using data to shape priorities and assess impact.
- Conduct deep dives across the full customer journey to identify opportunities to improve experience and drive growth.
- Contribute to a culture of data enablement, helping others self-serve and use data confidently in their day-to-day work.
They are looking for a Data Analyst who is curious, collaborative, and comfortable owning their work. You should bring:
- Strong commercial experience using SQL to query large datasets in a modern data environment.
- Experience working with data visualisation or BI tools such as Looker, Tableau, Mode, or similar.
- The ability to communicate insights clearly, tailoring your message for both technical and non-technical audiences.
- A proactive, questioning mindset, with the confidence to challenge assumptions and ask the right questions.
- The ability to work autonomously, managing your own projects while seeking guidance when needed.
- A solid understanding of core statistics and experimentation concepts such as A/B testing, significance testing, and confidence intervals.
- Experience in product or customer analytics within a digital, subscription, or marketplace business.
- Familiarity with event tracking tools or customer data platforms such as Segment, Amplitude, or Mixpanel.
- Exposure to dbt, Python, or R for data modelling or deeper analytics.
- Experience working in a scale-up or high-growth, fast-moving environment.
You can expect a comprehensive package designed to support your work, wellbeing, and development, including:
- Competitive base salary with an annual bonus scheme.
- Equity options, giving you a stake in the company’s long-term success.
- Fully remote working within the UK, with access to coworking spaces if you prefer.
- Generous annual leave plus public holidays, with additional closure days over key periods.
- Pension scheme and private health-related benefits.
- Support for personal development, including budget and regular time set aside for learning.
- A range of additional lifestyle and wellbeing benefits to support you inside and outside of work.
Apply below if you would like to register your interest or send your CV to
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