Senior Analyst - Range Space Price & Promotion

Proficiency in statistical analysis, commercial analytics and data visualisation tools. Experience working with product, pricing, promotional, customer and store datasets. (3+ years)

Proven experience writing code in languages such as SQL, Python or R.

Experience applying advanced analytical techniques including forecasting, regression analysis, clustering, elasticity analysis and promotional 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 pricing strategy, promotional effectiveness, demand forecasting, stock productivity and retail performance measures.

Experience creating stakeholder-ready dashboards, reporting solutions and insight packs using data visualisation tools.

Knowledge of data quality, governance, documentation standards and ethical use of business data.

40% staff discount plus friends & family discounts throughout the year

Access to our reward platform for external discount and offers

Private pension scheme

Option to join our Healthcare Private Medical Scheme

Virtual GP access for you and your children - it allows you to speak to a doctor at a time and date that suits you

All employees are covered by our life assurance policy from day one

Unlock extra leave with our buy more holiday scheme.

Celebrate YOU! Enjoy an extra paid day off on your birthday each year

Enhanced maternity, paternity and adoption leave, and shared parental leave (eligible after 2 years service)

Spread the cost of your commute with interest-free season ticket loans

Do your bit for the environment and save money with our Cycle2Work scheme

We're proud to partner with the Retail Trust and Fashion & Textile Children's Trust

Utilise advanced analytical techniques to support Range, Space, Price & Promotion decisions, combining customer, product, pricing and commercial data to identify opportunities that improve demand, margin, stock efficiency and customer relevance.

Data Mining: Use data mining techniques to combine multiple large product, transaction, customer, pricing and store datasets into new data marts, analytical models and reusable insight assets.

Descriptive Analytics: Interpret data and present findings to stakeholders in a clear and impactful manner to drive data-driven decision making. Deliver deep-dive commercial insight and recommendations that explain product, pricing, promotional and trading performance.

Advanced Analytics: Apply statistical and analytical techniques such as forecasting, clustering, elasticity analysis and promotional measurement. Working knowledge of data science techniques including random forest, k-means and linear regression.

Optimisation: Collaborate with cross-functional teams to identify opportunities for optimisation. Support initiatives across ranging, store space allocation, pricing strategy, promotional effectiveness and trading performance.

Collaborate: Support a given analytical principle and deliver an agreed analytics strategy. Create stakeholder-ready dashboards, reporting and insight packs while ensuring outputs are accurate, documented and governed.

Development: Stay updated on industry trends and best practices in retail analytics, ranging, pricing, promotions, forecasting and analytical techniques.