At a Glance
- Tasks: Lead a team of analysts to turn data into actionable insights for product strategy.
- Company: Join a dynamic tech company focused on innovative product analytics.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on growth and innovation.
- Why this job: Make a real impact by shaping product decisions with data-driven insights.
- Qualifications: Experience in product analytics and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
The Product Analytics team turns behavioural and product data into insights that help us evaluate product changes, improve user experience, and influence product strategy. We work closely with Product Managers, UX Designers, Engineers, and senior stakeholders to understand user behaviour and identify opportunities with the greatest customer and business impact.
You will lead a dedicated team of 5-6 analysts embedded in the LeapSpace product organisation, as part of the wider A&G Solutions Analytics function of 30+ analysts located in Amsterdam and London. Your team works with product, commercial, and strategy stakeholders across the US, UK, and the Netherlands.
What You Will Do
- Lead and grow the analytics team: Manage, coach, and develop a team of 5-6 analysts. Set priorities, build a high-performance culture, and enable analytical excellence while attracting and retaining top talent as LeapSpace scales.
- Act as a strategic thought partner: Partner closely with Product and Commercial teams to translate strategy into clear OKRs and success metrics. Shape analytical questions, challenge assumptions, and influence roadmap prioritisation and go-to-market decisions.
- Drive growth analytics: Own analytics across the full growth funnel - acquisition, activation, engagement, retention, and monetisation - across B2B and B2C segments. Build models and forecasts that inform commercial targets and identify key levers for sustainable, product-led growth.
- Deepen understanding of user behaviour: Analyse behavioural and transactional data to understand end‑to‑end user journeys, including adoption, engagement, conversion, retention, and satisfaction. Use cohort, funnel, segmentation, and feature analysis to generate actionable insights across researcher and institutional audiences.
- Define and govern product success metrics: Collaborate with Product Managers and stakeholders to define and align KPIs with user value, business outcomes, and LeapSpace's AI‑driven proposition. Ensure robust tracking and data quality to support reliable measurement.
- Drive experimentation and product evaluation: Design and evaluate experiments, including A/B tests, to assess the impact of new features and product changes.
- Communicate insights and influence decisions: Translate complex analyses into clear, compelling narratives through dashboards, presentations, and storytelling. Communicate effectively across product teams and senior leadership to drive data‑informed decisions.
- Leverage AI‑enabled analytics: Use AI tools to accelerate SQL, Python, analysis, visualisation, and documentation. Apply modern, GenAI‑native working practices while maintaining strong human validation and judgement.
What You Bring
- Product & digital analytics experience: Solid experience in product or digital analytics, with a proven track record of influencing product strategy and commercial decisions through data.
- B2B & B2C expertise: Experience working across both institutional and consumer‑facing digital products, with a strong understanding of user behaviour, adoption, engagement, and value creation across different audiences.
- Growth‑stage product experience: Experience scaling products from early adoption to broader market growth, including defining key metrics at each stage and building scalable analytical frameworks.
- People leadership: Proven experience leading, building, and developing high‑performing analytics teams (5+ people).
- Commercial acumen: Strong ability to translate data insights into revenue, retention, and broader business impact, and to engage effectively with commercial stakeholders.
- Experimentation & A/B testing: Strong experience designing, running, and interpreting experiments in fast‑moving and ambiguous product environments.
- Technical skills: Advanced SQL and Python (or R) for analysis, statistical modelling, and visualisation; Experience with cloud data platforms (e.g. Snowflake, Redshift, Databricks) and BI tools (e.g. Tableau or equivalent); Familiarity with web analytics tools (Adobe Analytics preferred); Experience with AI/LLM‑assisted workflows (e.g. Claude, Codex).
- Stakeholder management & communication: Strong ability to influence senior stakeholders across product and commercial teams. Clear and confident communicator with strong executive presence.
- Education: Master’s degree or higher with a quantitative focus (Statistics, Mathematics, Computer Science, Physics, Economics, or a related field with strong statistical foundations) preferred, though equivalent experience will be considered.
- Mindset: Genuine curiosity about users and products; Growth mindset: enthusiasm for learning, comfortable with ambiguity, and not afraid to ask hard questions; Collaborative and humble, with high standards for analytical rigour and storytelling; Comfortable working in cross‑functional, international, multi‑location teams.
Director / Head of Data Analytics in London employer: RELX Group
At LeapSpace, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team-oriented environment encourages personal and professional growth, with ample opportunities for career advancement within our analytics function. Located in vibrant cities like Amsterdam and London, we offer a unique chance to work at the forefront of product analytics, leveraging cutting-edge AI tools while making a meaningful impact on user experience and product strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Director / Head of Data Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your analytical prowess. This is your chance to demonstrate how you can turn data into actionable insights.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to product analytics. Think about how you’d tackle real-world problems and be ready to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Director / Head of Data Analytics in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in product and digital analytics. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant achievements!
Showcase Your Leadership Skills:Since this role involves leading a team, it’s crucial to demonstrate your people management experience. Share examples of how you've coached and developed teams in the past, and how you’ve fostered a high-performance culture.
Highlight Your Analytical Expertise:We’re looking for someone who can drive growth analytics and understand user behaviour deeply. Include specific projects where you’ve used SQL, Python, or other tools to derive insights that influenced product strategy.
Communicate Clearly:Your ability to translate complex analyses into compelling narratives is key. Use your application to showcase your communication skills—whether through storytelling in your cover letter or clear formatting in your CV. And remember, apply through our website for the best chance!
How to prepare for a job interview at RELX Group
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with product and digital analytics. Be ready to discuss specific examples where your insights influenced product strategy or commercial decisions. This will show your expertise and how you can add value to the team.
✨Showcase Your Leadership Style
As a potential leader of a team, it's crucial to articulate your approach to managing and developing analysts. Prepare to share your strategies for building a high-performance culture and how you've successfully coached teams in the past.
✨Prepare for Technical Questions
Brush up on your SQL and Python skills, as well as your experience with cloud data platforms and BI tools. Be ready to discuss how you've used these tools to drive growth analytics and experimentation in previous roles.
✨Communicate Clearly and Confidently
Practice translating complex analyses into simple narratives. During the interview, focus on how you can effectively communicate insights to both technical and non-technical stakeholders, ensuring that your storytelling resonates across different teams.
