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- Tasks: Enhance site performance and customer experience through data-driven optimisation.
- Company: Feel-good fashion brand with over 55 years of making style accessible.
- Benefits: 40% staff discount, virtual GP access, extra leave on your birthday.
- Why this job: Join a team that values innovation and customer obsession in fashion.
- Qualifications: 2-3 years in eCommerce optimisation and strong analytical skills.
- Other info: Flexible working patterns and a commitment to inclusion and diversity.
The predicted salary is between 36000 - 60000 £ per year.
We are 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: Enhance site performance and customer experience through data-driven optimisation of navigation, onsite search, product hierarchy, and overall discoverability. Partner with Optimisation leadership to deliver the digital strategy and continuously improve journeys, conversion, and content visibility across all devices.
WHAT'S IN IT FOR YOU:
- 40% staff discount plus friends & family discounts throughout the year
- Access to our reward platform for external discount and offers
- 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
- 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 are proud to partner with the Retail Trust and Fashion & Textile Children’s Trust
What you’ll be doing:
- Optimise search and browse touchpoints to maximise product visibility, discoverability, and conversion.
- Analyse performance data to identify opportunities and deliver measurable customer and commercial improvements.
- Produce regular reporting on onsite behaviour and trends, offering insights to guide optimisation and trading priorities.
- Maintain and refine category structures to ensure consistent product relevance across all devices.
- Lead product enrichment with a focus on accuracy and speed, protecting conversion and preventing lost sales.
- Partner with Trade, UX, and IT to plan, test, and deliver new digital features, campaigns, and journeys.
- Collaborate with Ecommerce and Content teams to align visibility and messaging with user behaviour and intent.
- Proactively identify and resolve live-site issues while maintaining high performance standards.
- Champion insight-led experimentation to validate hypotheses and drive continuous improvement.
- Work with Marketing and SEO to align paid, organic, and onsite discovery journeys.
- Conduct competitor and market benchmarking to identify trends and opportunities in navigation, design, and functionality.
- Support and mentor assistants, providing guidance, workload management, and development opportunities.
- Deputise for the Junior Optimisation Manager, supporting strategy, performance delivery, and process enhancements.
- Maintain deep expertise in optimisation tools, systems, and product categories to inform decisions and best practices.
- Create and share documentation to standardise optimisation, tagging, and analytics practices across teams.
Who you are:
- Analytical, commercially minded, and data-driven, with a customer-first approach.
- Collaborative communicator skilled at influencing cross-functional teams.
- Organised, proactive, and adaptable in a fast-paced trading environment.
- Embraces a test-and-learn mindset, using insights to drive measurable outcomes.
- Acts as a positive role model, fostering engagement and accountability within the team.
Minimum Qualifications & Experience:
- 2–3 years' experience in eCommerce optimisation or trading.
- Strong understanding of site merchandising, navigation, and search optimisation.
- Skilled in digital analytics tools (e.g., Adobe Analytics, Google Analytics, Monetate, etc.).
- Experience working with cross-functional digital and trading teams.
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 are 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 are 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.
Discovery Optimisation Specialist in London employer: New Look Group
Contact Detail:
New Look Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Discovery Optimisation Specialist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with yours. This will help you show that you're not just a fit for the role, but for the team too!
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills and experiences make you the perfect candidate for the Discovery Optimisation Specialist role. Keep it concise and focus on what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our awesome team at New Look.
We think you need these skills to ace Discovery Optimisation Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Discovery Optimisation Specialist role. Highlight your eCommerce optimisation experience and any relevant tools you've used, like Google Analytics.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about enhancing customer experiences through data-driven strategies. Share specific examples of how you've improved site performance in the past.
Showcase Your Analytical Skills: Since this role is all about data, be sure to mention any analytical projects you've worked on. We want to see how you've used data to drive decisions and improve outcomes in previous roles.
Apply Through Our Website: For a smooth application process, make sure to apply directly through our website. This helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at New Look Group
✨Know Your Data
As a Discovery Optimisation Specialist, you'll be diving deep into data. Brush up on your analytical skills and be ready to discuss how you've used data-driven insights in past roles to enhance customer experiences and drive conversions.
✨Understand the Brand
Familiarise yourself with the company's values and mission. Be prepared to explain how you align with their customer-obsessed approach and how you can contribute to delivering 'That New Look Feeling' for customers.
✨Showcase Collaboration Skills
This role involves working closely with various teams like Trade, UX, and IT. Think of examples where you've successfully collaborated across departments to achieve a common goal, and be ready to share those stories.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Prepare scenarios where you've identified issues in site performance or customer journeys and how you implemented solutions. This will demonstrate your proactive mindset and test-and-learn approach.
