Customer Intelligence Lead
Listed on 2026-02-24
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IT/Tech
Data Analyst, Data Science Manager
About Charlotte Tilbury Beauty
Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace.
Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen.
Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech — all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions.
Aboutthe role
The Customer Insight team powers customer‑centric decision making across Charlotte Tilbury, turning data into the insight that shapes our growth strategy. We bring together customer, digital, trade and market signals to understand how our customers discover, shop and stay loyal to the brand, and how we can serve them better at every step.
The Customer Intelligence Lead is a pivotal role in this team. Reporting to the Head of Customer Insights, you’ll own the day‑to‑day Customer Intelligence agenda setting priorities, defining how we measure customer performance, and ensuring insight is embedded into key commercial and marketing decisions.
You’ll balance hands on analytics with leadership and influence. You’ll lead complex analysis and modelling yourself where needed, while guiding a mid‑weight Customer Intelligence Analyst and partnering with Data Science, Data Engineering, CRM, Digital and Marketing teams. Your work will shape how we acquire, retain and grow customers globally, and you’ll be a visible, trusted voice on customer performance for senior stakeholders across the business.
Asa Customer Intelligence you will
The role covers the full customer insight lifecycle, from framing the right questions through to embedding recommendations and measuring impact. Responsibilities include
- Shaping and delivering the Customer Intelligence strategy
, working with the Head of Customer Insights to define the roadmap, priorities and standards for customer insight. - Owning customer metrics, frameworks and performance reporting
, defining and governing KPIs such as acquisition efficiency, retention, loyalty, LTV and churn across channels and markets. - Leading high‑impact analysis and advanced analytics
, running complex customer analysis, segmentation and propensity/LTV modelling to inform targeting, personalisation and optimisation activity. - Translating insight into strategy and action
, turning complex data into clear stories, recommendations and test‑and‑learn plans for senior stakeholders across CRM, Performance Marketing, Trade, Product and Finance. - Shaping customer data foundations and tooling
, partnering with Data Engineering and Data Science to ensure the architecture, data pipelines, models and tools provide a reliable, joined‑up view of the customer and robust measurement. - Line management of a Customer Insight Analyst
, setting goals, prioritising workload, reviewing outputs and coaching for high performance and continual development.
Data & AI Team, Digital etc.
About you- Degree in a quantitative/STEM subject (or equivalent experience), with strong exposure to statistics or econometrics.
- Extensive experience in customer/marketing/CRM analytics in a consumer‑facing business, delivering clear commercial impact.
- Advanced SQL and strong data‑modelling skills, confident working with large, complex customer and transactional datasets.
- Proven track record leading end‑to‑end…
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