At a Glance
- Tasks: Lead a dynamic analytics team to drive data-driven decisions and product strategy.
- Company: Join Elsevier, a leader in research and healthcare innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a fast-growing team in an exciting growth phase.
- Why this job: Shape the future of AI-assisted research with impactful data insights.
- Qualifications: Experience in product analytics and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
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 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.
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 — you want to understand the ‘why’, not just report the ‘what’; 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.
About Elsevier
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision‑making for customers across the global research and health ecosystems. Applying customer centricity, product and data best practices, and a passion for excellence, we deliver world‑class solutions.
About LeapSpace
LeapSpace is Elsevier’s new AI‑assisted workspace for research — an innovative, fast‑growing product that serves both institutional (B2B) and individual researcher (B2C) audiences. Built on trusted scientific content and responsible AI, LeapSpace brings together discovery, analysis, and collaboration in a single intelligent environment, helping researchers uncover insights, accelerate innovation, and work more effectively. LeapSpace is entering a pivotal growth phase, with significant investment and executive sponsorship as it scales adoption across the global research community.
Equal Opportunity Employer
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Director / Head of Data Analytics in London employer: RELX INC
At Elsevier, we pride ourselves on being an exceptional employer, particularly for the Director of Data Analytics role based in Amsterdam or London. Our vibrant work culture fosters innovation and collaboration, providing ample opportunities for professional growth while working with cutting-edge AI technologies. With a commitment to employee development and a focus on impactful data-driven decision-making, we empower our team to shape the future of research and health outcomes globally.
StudySmarter Expert Advice🤫
We think this is how you could land Director / Head of Data Analytics in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RELX INC!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Director / Head of Data Analytics at RELX INC.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RELX INC.
✨Apply Directly through Our Website
When you find a suitable opening like Director / Head of Data Analytics at RELX INC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Director / Head of Data Analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RELX INC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RELX INC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RELX INC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RELX INC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
