{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Analytics Manager”, “description”: “
We are looking for a Data Analytics Manager for our European Analytics Team.
The Data 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
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 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
Company: Lands' End
Location: Oakham
Job Description:
We are looking for a Data Analytics Manager for our European Analytics Team.
The Data 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
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 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
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Posted: May 17th, 2026