Job Description

Love Data?

Have you recently graduated with a Data degree?


Want to support a growing eCommerce business continue to be even better?


Then we may have just the role for you!


We are looking for a

Junior

Insight Analyst

for our European Team.

About the Company

Lands' End is a global multi-channel retailer designing and selling 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

Junior Insight Analyst

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 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.


This is an entry level role suitable for recent graduates or anyone looking to start their Data Analytics career


Please note this role is hybrid and will require 9 days a month in the Rutland office.

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. 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 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, organize, 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. Curiosity and desire to learn new skills.

Personal Skills:

Equally adept working individually, as well as part of a team. 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

Desirable competencies / experience:

Experience / exposure to working within an ecommerce business Basic knowledge of SQL Knowledge / experience with at least 1 programming language (Python) Experience in working in a cloud-based data platform (AWS/Azure etc) Exposure and experience in working with digital/web analytics (Adobe Analytics/Google Analytics) data.

Benefits you will receive

Hybrid Working Model Subsidised Restaurant Free access to a local Gym 50% Employee Discount Cash Health Scheme Free Eye test Employer pension contribution up to 5% Free on-site parking

Our main focus is finding talented individuals that will bring enthusiasm and creativity to our growing data team. If you don't meet all the criteria listed here, we still want to hear from you!