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Director​/Head of Data Analytics

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: LexisNexis Risk Solutions
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 EUR Yearly EUR 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Director / Head of Data Analytics

Director / Head of Data Analytics — Leap Space A&G Solutions

Location:

Amsterdam / London | Permanent | Reporting to:
Senior Director, A&G Solutions Analytics

Are you a leader with a keen interest in data and innovation? Would you like to help us make data-driven decisions?

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 Leap Space 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 Leap Space, 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 Leap Space 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 Leap Space 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 Leap Space’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.
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…
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