Python Job: Analytics and Data Engineering Associate

From Merchandising and Marketing - Product Development and Design, through to Supply Chain and Space Planning - our mission is to bring stylish wardrobe, home and beauty essentials to our customers via an easy, inspiring shopping experience online and in store that will delight them every time.

As we accelerate the transformation of our business to suit the changing needs of our customer, we need results-orientated colleagues that not only have a passion for our product, but a strong team working ethos, creativity and a healthy commercial aim to join us on our journey.

We are seeking a talented and motivated Analytics and Data Engineering Associate to join our team. This role requires a strong foundation in analytics and data engineering with great opportunities for self-development and progression. The successful candidate will work alongside a team of experienced analysts and engineers and will be accountable for supporting the development of analytical models, dashboards, data systems, and reports that drive business decisions.

• A key player in the defining our future Space Strategy and Transformation pillar “size and shape” of our estate and shops; building significant understanding of our stores and BUs with insight that underpins future right sizing decisions.
• Drives powerful outcomes through expert knowledge of data analysis, aligning complex information from multiple sources into clear insight with recommended actions.
• Builds a unified network across Clothing & Home, Retail, Finance, Data & Digital, and Property to successfully operate in the role and deliver future commercial value across all stores and projects.
• Owns the Test & Learn agenda for Space incl. establishing a T&L programme, monitoring, and driving activity that ensures the business drives and understands performance in every test, learns, and concludes outcomes with strong insight. Acts as a champion for change and innovation.

• Either a Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field or relevant experience
• Strong analytical skills and a solid foundation in statistics
• Proficiency in SQL and Excel
• Experience with at least one programming language (e.g., Python, R, Java, VBA)
• Ability to work collaboratively in a team environment
• Strong written and verbal communication skills
• Experience with data visualization tools (e.g., PowerBI, Tableau)
• Familiarity with cloud-based data storage and processing platforms (e.g., AWS, Azure)
• Knowledge of machine learning concepts and techniques
• Experience working within a retail environment
• Knowledge of Microsoft Office packages (e.g., PowerPoint, Outlook)
• You have high levels of intellectual curiosity and a can-do mindset.

Interested? Apply here!

• Flexible working approach, with a balance of being in the office and working from home
• Competitive salary plus bonus
• 29 days inclusive of any bank holidays
• 20% discount on M&S products
• A range of wellbeing support (including a virtual GP)
• 25% off gym memberships, access to online fitness classes and discounts for complementary health services, such as nutrition and lifestyle coaching

M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That’s why we’re revolutionising how we work and offering our most exciting opportunities yet. There’s never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact.

We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working.

If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.