Have you just graduated from University and are looking to kick start your career in Analytics?
Love Data? Have an interest in Marketing? Then we may have just the role for you!
We are looking for a Graduate Insight Analyst for our European Team.
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.
About the Role
The Graduate Insight Analyst is a key member of our European Analytics Team, which sits within a wider European team based in Oakham, Rutland and Mettlach, Germany.
This role is responsible for developing insightful analysis and analytical products, using variety of data sources, providing timely, relevent and actionable business insights that aid decision making and business performance.
What you can expect from the Role
Hands-on analysis of customer, sales and merchant planning data using the full suite of technical tools (SQL, R, Python, Excel etc.) to create timely, relevant and actionable insights
Works in collaboration with US counterparts in standardising analysis and reporting capabilities to allow for campaign monitoring, improvements in customer selection and targeting.
Identifies customer segments, purchase behaviour and product marketing opportunities to drive business performance.
Ensure business reports are delivered on time, within budget and to brief specification whilst ensuring minimal downtime and maximum utilisation.
Identify opportunities for standardisation & automation of existing solutions and processes to enable Lands’ End to realise the maximum potential from our teams.
QA of reports and analysis and that of team members to ensure the highest quality of work.
Challenge and improve Lands’ End’s analytical capability through development of tools or processes that offer opportunities to Lands’ End.
Acquire and prepare data from primary and secondary sources for analysis
Work closely with key internal stakeholders to ensure sound knowledge of stakeholder
What we expect from you
Bachelor’s degree or equivalent in a numerate subject Stats, Maths, Physics, Economics, etc
Demonstrable academic knowledge of data models, database design, data mining and segmentation techniques, and the ability to apply this knowledge in a commercial environment.
Some hands-on knowledge of statistical and analytical tools such as SQL, SAS, R, Python.
Some knowledge of and experience with reporting and visualisation platforms (PowerBI, Tableau, Business Objects etc)
Strong with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Ability to tell compelling stories using data, analytics, and visualisation, to a non-technical audience.
A self-starter, who is equally adept working individually, as well as part of a team.
Builds strong and collaborative relationships with teammates and colleagues.
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
Strong 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
Desirable competencies / experience:
Some work experience in a related business work based placement/volunteering) would be an advantage but is not necessary.
Exposure to cloud-based data platforms would be a benefit (AWS/Azure etc)
Exposure to and knowledge of working with digital/web analytics data (Adobe Analytics/Google Analytics) data would be a benefit.
Benefits you will receive
Hybrid Working Model
Free access to a local Gym & Swimming Pool
50% Employee Discount
Cash Health Scheme
Free Eye test
Employer pension contribution up to 5%
Free on-site parking