Customer Analytics Lead
Listed on 2026-01-09
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IT/Tech
Data Analyst, Data Science Manager
Here at N Brown
, we champion inclusivity by making our customers look and feel amazing. We don’t believe that age, size, shape or background should stop anyone from feeling confident, stylish and happy with the way they look and feel. With our industry leading expertise in creating fashion that fits, we’ve been proudly breaking down these barriers for over 150 years. We help our customers to express themselves with stylish products, helpful services and flexible finance.
Now, we’re moving forward together, embracing innovation and new technology, to continue to delight our customers.
Working here you’ll explore everything the world of digital retail has to offer — asking questions, trying new things and chasing new opportunities. Combine this curiosity with the freedom to make your own decisions, take charge of projects and work flexibly, and you’ve got the perfect place to show your skills and learn new ones. It’s fast and furious here at times, but this just means something new and exciting is always on the way.
So, if you collaborate, think on your feet, embrace innovation and love rising to a challenge, your work with us will have a serious impact on the business, your career and our customers’ lives. We are proud to be N Brown.
As a Customer Analytics Lead, you will play a central role in enabling data-driven decision-making across the organisation. Working closely with C-suite and senior stakeholders, you will deliver high-impact insights that shape both operational and strategic priorities. With a strong focus on insight delivery, customer behaviour, people management, and the continuous development of technical capability, this role offers a significant opportunity to influence business performance and long-term growth.
Aday in the life of a Customer Analytics Lead
- Conduct robust exploratory data analysis to identify key insights, presenting findings through clear and compelling visualisations grounded in data integrity and industry context.
- Apply advanced analytics techniques to develop and test hypotheses that support operational improvement and transformational initiatives.
- Build trusted relationships with C-suite and Senior Leadership Team stakeholders, influencing decision-making through insight-led recommendations.
- Contribute to the definition of team objectives while overseeing the day-to-day prioritisation and delivery of work across direct reports.
- Lead, coach, and develop a high-performing team of Level 1 and Level 2 Data Analysts, ensuring timely, accurate, and actionable insight delivery.
- Drive the evolution of the team’s analytical and coding standards, promoting best practice while maintaining high quality and on-time outputs.
- Demonstrated experience delivering analytics-led business change, with a proactive, collaborative, and outcomes-focused approach.
- Strong track record of using analytics to influence decisions across functions such as Marketing, Customer Experience, UX, Merchandising, and Product.
- Experience with customer experience measurement, including identifying key drivers and converting insight into actions that improve customer satisfaction.
- Proven line management experience.
- Solid understanding of e-commerce, digital channels, and digital attribution methodologies.
- Experience operating within marketing environments, with domain knowledge of Digital Marketing (PPC, SEO), Broadcast Media, or CRM.
- Deep understanding of analytical and statistical techniques, with a commitment to staying current with industry trends and best practices.
- Experience embedding a data-driven culture, championing test-and-learn approaches, and enabling self-service analytics capabilities.
- Advanced SQL proficiency for querying, transforming, and analysing large and complex datasets.
- Strong expertise in Power BI or comparable data visualisation tools to deliver impactful dashboards and reporting.
- Experience designing experiments, tests, and measurement frameworks to assess the impact of business change.
- Desirable:
Experience with Google Cloud Platform (Big Query, GA4), AWS, and Python. - Excellent communication skills, with the ability to translate complex analytical…
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