Responsibilities
- Define and scale the Product Analytics function, setting direction for experimentation, behavioural analysis and impact measurement across product teams
- Establish and embed best practices for experiment design, analysis and interpretation to enable consistent, high-quality decision-making
- Build and run experimentation operations, including clinics, forums and training to improve quality and adoption across teams
- Own and evolve the product metrics framework, including north star, input and guardrail metrics
- Contribute to product attribution approaches, partnering with Product and Finance to align expected and realised impact
- Define measurement approaches for AI and algorithmic features in collaboration with Data Science, MLOps and Engineering
- Shape product and commercial strategy through opportunity identification, impact sizing and evidence-based recommendations
- Lead high-impact and complex analysis, ensuring outputs are decision-ready and commercially grounded
- Synthesise behavioural insight, experimentation results and commercial context to inform strategic direction
- Build scalable analytics capability through frameworks, tooling and self-serve approaches
- Line manage and develop a team of analysts, building technical depth and stakeholder influence
- Drive cross-functional alignment across Product Analytics, Data Science and Engineering
Requirements
- Proven experience leading and developing Product Analytics teams, with a track record of scaling impact and capability
- Strong background in product or commercial analytics within a digital or e-commerce environment
- Deep experience designing, running and interpreting experiments with sound statistical judgement
- Advanced analytical skills, including strong SQL and working knowledge of Python or similar
- Ability to translate complex analysis into clear, commercially grounded recommendations
- Confident communicator with experience influencing senior stakeholders across Product and cross-functional teams
- Experience building scalable analytics practices, including frameworks, templates and self-serve tooling
- Comfortable working with ambiguity and leading high-impact, business-critical investigations
Benefits
- Competitive Pay & Bonuses
- Generous pension plans
- Staff discounts
- Private healthcare (UK)
- Mental health support
- Dog-friendly offices (London & NL)
- Generous holidays
- Hybrid working (1-3 days in office, depending on role/team)
- Up to 20 days of international working
- Learning allowances
- Coaching
- Development programs
Work Arrangement
Hybrid — London, NL
Additional Information
- Flexible working
- Generous holidays
- Hybrid working (1-3 days in office, depending on role/team)
- Up to 20 days of international working
- Private healthcare (UK)
- Mental health support
- Dog-friendly offices (London & NL)
- Learning allowances
- Coaching
- Development programs
- Regular and ongoing time working from the office as part of their role
