Director / Head of Data Analytics — LeapSpace 

A&G Solutions  ·  Amsterdam / London  ·  Permanent 

Reporting to: Senior Director, A&G Solutions Analytics 

About the Team 

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. 

About the Role 

This is a high-impact leadership role at the intersection of product, data, and commercial strategy. As Director of Product Analytics for LeapSpace, you will be the analytical authority for one of Elsevier's most strategically important products — shaping how we measure success, understand our users, and scale the business. 

You will be a true thought partner to the LeapSpace leadership team, translating ambiguous strategic questions into rigorous analytical frameworks, and turning data into decisions. You will need to balance the nuances of a dual B2B/B2C product — where institutional procurement cycles, individual researcher adoption, and GenAI-driven engagement all interact — with a sharp commercial lens and a growth mindset. 

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. Build predictive models to forecast performance and identify early signals of success or risk.
   
• 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.