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:
Understanding the needs of data across the business, be a champion for clarity and consistency within data and empower the business with enriched data models
WHAT YOU’LL BE DOING:
Leadership: Manage and mentor a team of analytics professionals.
Tell Data-Driven Stories: Translate your insights into clear, actionable recommendations that influence product strategy, marketing investments, and business decisions
Partnership: Work cross functionally with the Marketing function, as well as BMD teams to support delivery to trade & brand targets
Data Mining: Explore opportunities to add or enhance existing data sets that deliver incremental value to New Look
Advanced Analytics: Experience of delivering and measuring the impact of data science projects such as random forest, k-means, linear regression.
Optimisation: Collaborate with cross-functional teams to identify opportunities for process optimisation.
Collaborate: Lead a given analytical principle and deliver an agreed analytics strategy
Development: Stay updated on industry trends and best practices in analytics.
WHO YOU ARE:
- Advanced knowledge of statistical and analytical tools such as Python, R, or SQL. (+6 Years)
- Ability to explain complex analytical concepts to non-analysts
- Proven experience in leading analytics projects from conception to implementation. Including strong project planning and management skills.
- Strong understanding of analytical modelling techniques (e.g., random forest, k-means, linear regression).
- Excellent communication and presentation skills.
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
Skills Required
- Advanced knowledge of Python, R, or SQL
- At least 6 years of relevant experience
- Ability to explain complex analytical concepts to non-analysts
- Experience leading analytics projects from conception through implementation
- Strong project planning and management skills
- Strong understanding of analytical modeling techniques, including random forest, k-means, and linear regression
- Excellent communication and presentation skills
What We Do
New Look is a UK-based feel-good fashion brand and omnichannel womenswear retailer. It makes style accessible and fun for customers, serving more than 10 million loyal customers through hundreds of UK stores and its online shop. The company operates across physical retail and digital channels, with a leading position in womenswear and a focus on accessible, trend-led clothing for women aged 18 to 44.
