Data Analytics Manager in Oakham

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.

About the Role

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, 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.
• 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.

Desirable competencies / experience:

• Experience / exposure to working within an ecommerce business.
• Advanced SQL skills.
• Knowledge / experience with at least 1 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/Google Analytics).
• Significant knowledge of both digital and direct marketing techniques (to include CRM response modeling 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.

Benefits you will receive

• Hybrid Working Model.
• Subsidised Restaurant.
• 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.