At a Glance
- Tasks: Lead a team of analysts to drive data-driven decisions and enhance customer understanding.
- Company: Join Lands' End, a global retailer known for its inclusive culture and innovative spirit.
- Benefits: Competitive salary, inclusive work environment, and opportunities for professional growth.
- Other info: Collaborative atmosphere with a focus on innovation and personal development.
- Why this job: Make a real impact by shaping analytics strategies in a dynamic eCommerce setting.
- Qualifications: Degree in a numerate subject and strong analytical skills required.
The predicted salary is between 50000 - 65000 ÂŁ per year.
Location: Oakham, Rutland, United Kingdom
Love Data? Want to support a growing eCommerce business continue to be even better? We are looking for an Analytics Manager for our European Analytics Team. The Analytics Manager is a new role in our growing Europe Analytics Team, which sits within a wider European team based in Oakham, Rutland and Mettlach, Germany. This role is responsible for leading a team of analysts to power data driven decision making, drive efficiency and elevate customer understanding across the business. A balance of team management and individual contributions will be required to be successful in this role. You will manage a combination of insight service provision and data product building to drive efficiency across the business and power intelligent decision making.
About the Company
Lands’ End is a global multi-channel retailer designing and selling American classically styled clothes for Women, Men & Kids. With 50 years’ experience we are a company with a great story to tell. Lands’ End is renowned for its culture of service for the customer and is recognised as an innovator in the industry. We Value People. People are the heart of our company and our doors are open to everyone. For our customers and our employees, we are committed to creating an inspiring culture that is welcoming, safe and inclusive for all. Our strength in work and life comes from the combination of our unique experiences, backgrounds and talents. What we do as people makes Lands’ End a great place to shop and a great place to work.
What you can expect from the Role
- Hands‑on analysis of customer, sales and product data using a variety of technical tools (SQL, R, Python, Power BI etc.) to create timely, relevant and actionable insights
- Continuously enhance our understanding of our customers through examining customer behaviour data, spotting emerging trends and market influences
- Build sophisticated data products to enable quicker, smarter decision making and ensure we have ongoing solutions to business challenges
- Identify opportunities for standardisation & automation of existing solutions and processes to enable Lands’ End to realise the maximum potential from our teams
- Lead and shape a growing team, providing thought partnership and insight services to teams across the business
- Challenge and improve Lands’ End’s analytical capability through development of tools or processes that offer opportunities to Lands’ End
- Collaborate with IT to develop the quality and variety of data assets to improve decision‑making and speed‑to‑market
- Work closely with key internal stakeholders to ensure sound knowledge of the relevant business areas
What we expect from you
- Bachelor's degree or equivalent in a numerate subject e.g. Stats, Maths, Physics, Economics, etc.
- Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SQL, SAS, R, Python etc.)
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
- Ability to tell compelling stories using data and analytics, to influence decision making at different levels of the business
- Fluent English Language skills both spoken and written
- Ability to manage stakeholders at various levels and balance conflicting priorities
- Ability and drive to champion the adoption of a data‑driven, fact‑based culture across the EU business
- Solid commercial acumen relevant to an online retail business
Personal Skills
- Builds strong and collaborative relationships with colleagues across the business
- Enthusiastic and creative, always looking for innovative solutions to business problems
- Personal pride, ensuring that work is always delivered to high standard
- Tenacious and driven to improve yourself, and the way things are done
- Excellent communication and presentation skills
- The ability to multi‑task, especially when under pressure, and effectively prioritise
- The ability to work in a fast paced, changing environment
- Organisational and problem‑solving skills
- Natural leader, able to inspire and motivate others
Experience / exposure to working within an e‑commerce business
- Advanced SQL skills
- Knowledge / experience with at least one programming language (Python preferred)
- Experience working in a cloud‑based data platform (AWS / Azure etc.)
- Knowledge and experience working with digital / web analytics data & tools (Adobe Analytics/G‑Analytics).
- Significant knowledge of both digital and direct marketing techniques (to include CRM response modelling and paid media optimisation)
- Proficiency in developing experiments and measuring marketing campaigns
- Experience using insights to improve customer journeys and increase site conversion
- Experience analysing customer purchasing behaviour to inform stock planning and segmentation
Analytics Manager Europe employer: Lands' End, Inc
Contact Detail:
Lands' End, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager Europe
✨Tip Number 1
Network like a pro! Reach out to current employees at Lands’ End on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Analytics Manager role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss SQL, Python, and data analysis techniques. We want to see you shine with your knowledge!
✨Tip Number 3
Showcase your leadership skills! Think of examples where you've led a team or project successfully. We love to see how you can inspire others and drive results in a fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Lands’ End family.
We think you need these skills to ace Analytics Manager Europe
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your love for data shine through! Share specific examples of how you've used data to drive decisions or improve processes in your previous roles. We want to see that you're not just skilled, but genuinely excited about analytics.
Tailor Your Application: Make sure to customise your CV and cover letter for the Analytics Manager role. Highlight relevant experiences and skills that match the job description. We appreciate when candidates take the time to connect their background with what we’re looking for!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We love a well-structured application that clearly outlines your achievements and skills without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Lands’ End!
How to prepare for a job interview at Lands' End, Inc
✨Know Your Data Tools
Make sure you’re well-versed in the technical tools mentioned in the job description, like SQL, R, and Python. Brush up on your skills and be ready to discuss how you've used these tools in past roles to drive insights and decision-making.
✨Showcase Your Analytical Skills
Prepare examples of how you've collected, organised, and analysed data to influence business decisions. Be ready to tell a compelling story with your data that highlights your analytical prowess and attention to detail.
✨Demonstrate Leadership Experience
Since this role involves leading a team, think of specific instances where you've successfully managed or mentored others. Highlight your ability to inspire and motivate, as well as how you’ve fostered collaboration within teams.
✨Understand the Business Context
Research Lands’ End and its eCommerce landscape. Familiarise yourself with their customer base and market trends. This will help you articulate how your skills can directly contribute to their goals and enhance their analytical capabilities.