Analytics Manager

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.

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 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 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

Benefits you will receive

• Hybrid Working Model
• Subsidised Restaurant
• Free access to a local Gym & Swimming Pool

#J-18808-Ljbffr…