Lead Analyst - Range Space Price & Promotion
About this role
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:
Lead analytical projects across Range, Space, Price & Promotion, translating complex product, customer and commercial data into actionable recommendations that improve ranging, pricing, promotional effectiveness, space allocation and overall business performance.
WHAT YOU’LL BE DOING:
Project Leadership: Lead analytical projects from business question through to recommendation, managing scope, analytical approach, delivery timelines and stakeholder communication.
Commercial 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.
Mentoring & Quality: Support and mentor analysts, providing guidance on analytical approach, code quality, data interpretation, documentation and stakeholder-ready outputs.
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, pricing, promotions, forecasting, ranging and analytical techniques.
WHO YOU ARE:
Advanced SQL capability with experience in Python.
Experience working with product, pricing, promotional, customer and store datasets. (4+ years)
Experience applying advanced analytical techniques including forecasting, regression analysis, clustering, elasticity analysis and promotional measurement.
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, range optimisation, demand forecasting and retail performance measures.
Experience mentoring analysts and leading analytical projects from brief through to implementation.
Knowledge of data quality, governance and documentation standards.
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
- Profit related bonus 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
Company at a glance
We’re the feel-good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and stores across the UK! 🛍️
It’s our New Looker’s that create a great place to work everyday, whether in our stores, our two Support Centres, our in-house Studio, Distribution Centre or our field based teams. 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.
We’re always on the lookout for talented people to join our New Look team, so visit our careers site below to check out our current live vacancies. Please note - our Recruitment team will never ask you to share personal information via LinkedIn directly, so beware of fraudulent accounts.
Take a look at our feed to get a glimpse of life inside our New Look team and who knows, maybe you could be joining us very soon! 👀
Top Benefits
- 40% staff discount
- Friends and family discounts
- Reward platform
- Private pension scheme
- Profit related bonus scheme
- Healthcare private medical scheme
- Virtual GP access
- Life assurance policy
- Buy more holiday scheme
- Birthday paid day off
- Enhanced maternity leave
- Enhanced paternity leave
- Enhanced adoption leave
- Shared parental leave
- Interest-free season ticket loans
- Cycle2Work scheme
Tired of cold applications?
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Know someone who'd be great for this?