At a Glance
- Tasks: Lead a team to analyse data and drive smart decision-making.
- Company: Join a dynamic European Analytics Team in Oakham, Rutland.
- Benefits: Competitive salary, flexible working, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and personal development.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: Degree in a numerate subject and strong analytical skills required.
The predicted salary is between 50000 - 65000 € per year.
Location: Oakham, Rutland, United Kingdom
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, 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.
Experience/Exposure:
- Experience 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.
Data Analytics Manager employer: Lands' End, Inc
At Lands' End, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the picturesque setting of Oakham, Rutland. Our culture fosters collaboration and innovation, empowering our employees to grow through hands-on experience and professional development opportunities. With a commitment to data-driven decision making, we provide our Data Analytics Manager with the tools and support needed to lead a talented team while driving impactful insights that shape our business strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Manager
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. The more you engage with others, the better your chances of landing that Data Analytics Manager role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your hands-on experience with SQL, Python, and data analysis tools. Let them see how you can drive efficiency and elevate customer understanding.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their needs. Research their current analytics challenges and come prepared with ideas on how you can help improve their decision-making processes.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our team at Lands’ End.
We think you need these skills to ace Data Analytics Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analytics Manager role. Highlight your experience with SQL, Python, and any relevant analytical tools. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us your story! Share why you're passionate about data analytics and how you can contribute to our team. Be sure to mention any specific projects or achievements that showcase your skills.
Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them! Provide examples of how you've turned data into actionable insights or improved processes in previous roles. We love seeing real-world applications!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Lands' End, Inc
✨Know Your Data Tools
Make sure you brush up on your technical skills, especially with SQL, R, and Python. Be ready to discuss how you've used these tools in past roles to derive insights and drive decision-making.
✨Showcase Your Leadership Skills
Since this role involves managing a team, prepare examples of how you've successfully led teams in the past. Highlight your ability to inspire and motivate others while balancing individual contributions.
✨Understand the Business Context
Familiarise yourself with the e-commerce landscape and the specific challenges faced by the company. Be prepared to discuss how your analytical skills can help improve customer journeys and increase site conversion.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets on the spot. Practise explaining your thought process clearly and concisely, as this will demonstrate your analytical capabilities and communication skills.
