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About the Role
Utilize advanced analytical techniques to understand customer behavior, identify opportunities across acquisition, retention, loyalty, and customer value, and translate data into actionable recommendations for improved business decision-making.
Responsibilities
- Use data mining techniques to combine large customer, transaction, campaign, and digital datasets into new data marts, analytical models, and reusable insight assets.
- Interpret data and present findings to stakeholders clearly and impactfully to drive data-driven decision making.
- Deliver deep-dive customer insights and recommendations explaining customer performance and behavioral trends.
- Apply statistical and analytical techniques such as segmentation, clustering, predictive modeling, and campaign measurement.
- Collaborate with cross-functional teams to identify optimization opportunities.
- Support initiatives across customer acquisition, retention, loyalty, lifecycle, and marketing performance.
- Support analytical principles and deliver an agreed analytics strategy.
- Create stakeholder-ready dashboards, reporting, and insight packs, ensuring accuracy, documentation, and governance.
- Stay updated on industry trends and best practices in customer analytics, loyalty, CRM, marketing measurement, and analytical techniques.
Requirements
- Proficiency in statistical analysis, customer analytics, and data visualization tools.
- Experience working with large customer, marketing, loyalty, or digital datasets (3+ years).
- Proven experience writing code in languages such as SQL, Python, or R.
- Experience applying advanced analytical techniques including segmentation, regression analysis, clustering, predictive modeling, and campaign measurement.
- Knowledge of data science and machine learning techniques such as random forest, k-means, and linear regression.
- Strong communication, presentation, and data storytelling skills, with the ability to translate complex analytical findings into clear and commercially relevant recommendations.
- Good understanding of customer profiling, customer value, customer lifecycle measurement, and behavioral analytics.
- Experience creating stakeholder-ready dashboards, reporting solutions, and insight packs using data visualization tools.
- Knowledge of data quality, governance, documentation standards, and ethical use of customer data.
Skills
- Analytical mindset
- Attention to detail
- Commercial curiosity
- Clear communicator
- Continuous learning
- Strong Opinions Loosely Held
Location
- UK
Work Type
- Full-time
Experience Level
- 3+ years
Benefits
- 40% staff discount plus friends & family discounts
- Access to reward platform for external discounts and offers
- Private pension scheme
- Virtual GP access
- Life assurance policy from day one
- Buy more holiday scheme
- Extra paid day off on your birthday
- Enhanced maternity, paternity, adoption, and shared parental leave
- Interest-free season ticket loans
- Cycle2Work scheme
About the Company
- A feel-good fashion brand making style accessible and fun for over 55 years.
- Operates via website, mobile app, and over 300 stores in the UK.
- Values: Play to win, customer obsessed, we are one, it starts with me.
- Cares about you and the planet, believing fashion should be a force for positive change.
- Celebrates inclusion and diversity.
- Proud of its inclusive culture and talented team members.
- Prioritizes development with training to support progression.
- Flexible employer, open to discussing specific work patterns.