Senior Customer Insights Analyst β€” Food Retail Impact

Senior Customer Insights Analyst β€” Food Retail Impact

Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
Marks and Spencer

At a Glance

  • Tasks: Transform customer data into actionable insights to drive performance.
  • Company: Join Marks & Spencer, a leading food retail brand in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting projects using Azure and Power BI await you!
  • Why this job: Be part of a dynamic team that values curiosity and collaboration.
  • Qualifications: Strong statistical skills and a passion for data analysis.

The predicted salary is between 45000 - 55000 Β£ per year.

Marks & Spencer in London is seeking a Senior Analyst to turn customer and transactional data into clear, commercial recommendations.

You will work with the Customer Insight team to support analytical projects using our Azure data platform and Power BI to drive performance understanding and opportunities.

The role requires a passion for data, strong statistical skills, and the ability to build relationships across M&S.

The team values curiosity, collaboration, and delivering actionable insights.

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Senior Customer Insights Analyst β€” Food Retail Impact employer: Marks and Spencer

Marks and Spencer is an exceptional employer that fosters a culture of innovation and collaboration, particularly within the Corporate HR technology team. Employees benefit from a supportive environment that prioritises professional growth and development, alongside competitive remuneration and benefits. Working in a dynamic location, you will have the opportunity to lead impactful projects that enhance the colleague experience throughout their journey with the company.

Marks and Spencer

Contact Details:

Marks and Spencer Recruitment Team

We think you need these skills to ace Senior Customer Insights Analyst β€” Food Retail Impact

Data Analysis
Statistical Skills
Azure Data Platform
Power BI
Commercial Recommendations
Relationship Building
Curiosity