Data Analyst (Data Science)
Hereford, England, United Kingdom
Type: Permanent
Working Pattern: Onsite/hybrid (3days on site)
Who Are We?
MandM is one of the biggest employers in Herefordshire and one of Europe’s leading online, off-price retailers, selling branded Fashion, Sport & Outdoor products for Men, Women and Children.
We offer our customers fantastic value by partnering with companies who we have built long term relationships with, enabling us to offer our customers big household names and up-and-coming brands, giving fantastic value all year round.
We are located in the heart of Hereford City Centre in our brand new, state of the art office. The modern, stylish workspace was designed to encourage collaborative working, teamwork and creativity - everything that MandM is all about.
As our business continues to grow we are recruiting for a talented Data Analyst to join our growing team.
Why not come be a part of our journey to success and take advantage of all MandM can offer you!
The Role Scope
The Data Analyst will generate actionable insights for all business departments by leveraging the company’s extensive data. They will manage the company wide BI platform and apply their data analytics expertise to create reports, dashboards, and insights that support colleagues across departments.
✨Role Key Responsibilities
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Perform ad-hoc project analysis and decision support across a wide variety of business projects spanning Marketing, IT, Operations and Finance.
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Maintain a business intelligence platform and all reports within, ensuring the correct definition of company metrics and the integrity of all connected data.
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Work and develop ways to utilise AI tools such as Gemini in the Data Team processes, such as analytics AI agents.
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Be an expert on our data – continually search for valuable insights within the information that we store and pass these findings on to key stakeholders.
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Maintain and optimise the structure of data to assist all members of the data team in their work.
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Work alongside other members of the data analytics team sharing and adopting ideas and best practice.
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Proactively and continuously improve processes, systems and documentation.