At a Glance
- Tasks: Lead a team of analysts to turn data into actionable insights for product strategy.
- Company: Join a dynamic company focused on innovative product analytics and user experience.
- Benefits: Competitive salary, professional development, and opportunities for growth in a collaborative environment.
- Other info: Work in a diverse, international team with a focus on AI-enabled analytics.
- Why this job: Make a real impact by shaping product decisions with data-driven insights.
- Qualifications: Experience in product analytics, strong leadership skills, and proficiency in SQL and Python.
The predicted salary is between 80000 - 120000 £ 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 employer: RELX Group
As a leading employer in the data analytics field, we offer a dynamic work environment that fosters collaboration and innovation. Our culture prioritises professional growth, providing ample opportunities for team members to develop their skills while working alongside talented colleagues across Amsterdam, London, and beyond. With a focus on analytical excellence and a commitment to leveraging cutting-edge AI tools, we empower our employees to make impactful contributions to product strategy and user experience.
StudySmarter Expert Advice🤫
We think this is how you could land Director / Head of Data Analytics
✨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 a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics. Think about how you can showcase your experience with A/B testing and user behaviour analysis.
✨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
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 the role, so don’t hold back on showcasing your 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 developed high-performing teams and fostered a culture of analytical excellence.
Highlight Your Technical Expertise:We’re looking for someone with strong technical skills, especially in SQL and Python. Be sure to mention any relevant projects or tools you’ve used that showcase your ability to analyse data effectively.
Communicate Clearly:Your application should reflect your ability to communicate complex insights simply. Use clear language and structure your application well, as this will give us a taste of how you might present data-driven narratives in the role.
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 potential employer that you can translate data into actionable strategies.
✨Showcase Your Leadership Skills
As a candidate for a leadership role, it's crucial to highlight your experience in managing and developing high-performing teams. Prepare anecdotes that demonstrate how you've coached analysts, set priorities, and built a culture of analytical excellence. This will help them see you as a strategic thought partner.
✨Master the Art of Storytelling
Practice translating complex analyses into clear narratives. Use examples from your previous work where you communicated insights effectively to stakeholders. This skill is vital for influencing decisions and ensuring that your findings resonate with both technical and non-technical audiences.
✨Familiarise Yourself with AI Tools
Given the emphasis on AI-enabled analytics in the job description, brush up on your knowledge of AI tools and how they can enhance your analytical processes. Be prepared to discuss how you've used these technologies in your previous roles to drive insights and improve decision-making.
