London, England, E1 1EW, GBFull TimeSeniorPosted Today
We’re the feel-good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK.
By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other.
THE ROLE:
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.
WHAT YOU’LL BE DOING:
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.
WHO YOU ARE:
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.
WHATS IN IT FOR YOU:
• 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
Why New Look?
We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We’re proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values.
We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals.
We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we're keen to discuss this with you in line with the output needed for the role.
Please ensure that your CV is in simple format e.g. Microsoft Word when applying using your CV to ensure smooth application process
By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other.
THE ROLE:
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.
WHAT YOU’LL BE DOING:
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.
WHO YOU ARE:
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.
WHATS IN IT FOR YOU:
• 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
Why New Look?
We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We’re proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values.
We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals.
We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we're keen to discuss this with you in line with the output needed for the role.
Please ensure that your CV is in simple format e.g. Microsoft Word when applying using your CV to ensure smooth application process