Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
Lead analytical projects across range, space, price, and promotion, translating complex data into actionable recommendations to improve business performance and decision-making.
Responsibilities
- Lead analytical projects from business question to recommendation, managing scope, timelines, and stakeholder communication.
- Interpret and present commercial data to drive data-driven decision-making.
- Deliver deep-dive insights on product, pricing, promotional, and trading performance.
- Apply statistical techniques including forecasting, clustering, elasticity analysis, and promotional measurement.
- Utilize data science techniques such as random forest, k-means, and linear regression.
- Collaborate with cross-functional teams to optimize ranging, store space, pricing, and promotions.
- Mentor analysts on analytical approaches, code quality, documentation, and stakeholder outputs.
- Create stakeholder-ready dashboards, reporting, and insight packs.
- Stay updated on industry trends and best practices in retail analytics.
Requirements
- 4+ years of experience working with product, pricing, promotional, customer, and store datasets.
- Advanced SQL capability.
- Experience with Python.
- Experience applying advanced analytical techniques including forecasting, regression, clustering, and elasticity analysis.
- Strong communication, presentation, and data storytelling skills.
- Understanding of pricing strategy, promotional effectiveness, range optimization, and demand forecasting.
- Experience mentoring analysts and leading projects from brief to implementation.
- Knowledge of data quality, governance, and documentation standards.
Skills
- SQL
- Python
- Forecasting
- Regression analysis
- Clustering
- Elasticity analysis
- Promotional measurement
- Random forest
- K-means
- Linear regression
- Data storytelling
- Commercial analytics
Work Type
- Flexible
Experience Level
- 4+ years
Benefits
- 40% staff discount plus friends & family discounts
- Access to reward platform for external discounts
- Private pension scheme
- Profit related bonus scheme
- Healthcare Private Medical Scheme
- Virtual GP access
- Life assurance policy
- Buy more holiday scheme
- Paid day off on your birthday
- Enhanced maternity, paternity, adoption, and shared parental leave
- Interest-free season ticket loans
- Cycle2Work scheme
- Partnership with Retail Trust and Fashion & Textile Children's Trust
About the Company
- Feel-good fashion brand operating for over 55 years.
- Presence via website, mobile app, and over 300 stores in the UK.
- Values include playing to win, customer obsession, unity, and personal accountability.
- Committed to inclusion, diversity, and positive environmental change.
- Prioritizes employee development and training.
Equal Opportunity
- We celebrate inclusion and diversity in everything we do.