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Insights Analyst

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Retail Insight
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 45000 - 65000 GBP Yearly GBP 45000.00 65000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

At Retail Insight, we're transforming the way some of the world's biggest retailers and CPG brands use data, analytics and technology to make smarter decisions.

Our people are at the heart of what we do. We bring together talented people with different experiences, perspectives and expertise to solve complex problems, challenge the status quo and make a real impact for our clients.

We're growing, and we're looking for an Insight Analyst to join our Client Analytics team.

About the role

We're looking for an experienced Insight Analyst who can turn complex data into clear, actionable insights that help our clients make better business decisions.

You’ll work on challenging analytical projects, using advanced analytical techniques to explore performance, uncover opportunities and solve real-world problems for some of the world's leading retailers and CPG brands.

This is a hands-on role that combines technical analysis with commercial thinking and clear communication. You’ll work closely with colleagues across Client Analytics, Engineering and the wider business, as well as directly with client teams.

You’ll also spend time in client markets and locations, validating your analysis and building a deeper understanding of the operational context behind the data.

What you'll be doing
  • Conducting complex data analysis to identify trends, opportunities and areas for improvement.
  • Using statistical modelling, predictive analytics and, where appropriate, machine learning techniques to generate actionable insights.
  • Taking ownership of complex analytical projects from initial scoping through to final recommendations.
  • Working independently to investigate problems that require an in-depth evaluation of multiple factors.
  • Translating analytical findings into clear, commercially relevant recommendations for clients and internal stakeholders.
  • Presenting complex information in a way that is engaging and easy for non-technical audiences to understand.
  • Contributing analytical expertise to strategic client and business projects.
  • Working closely with Client Analytics colleagues to make sure analysis is accurate, relevant and delivered to a high standard.
  • Collaborating with Engineering to improve data collection, data quality and analytical capabilities.
  • Building effective relationships with client teams and developing a strong understanding of their challenges and objectives.
  • Visiting client sites and markets to validate findings, understand how recommendations work in practice and strengthen the quality of our insights.
  • Keeping up to date with developments in analytics, tools and technology and applying relevant learning to your work.
  • Sharing knowledge, analytical approaches and best practice with colleagues across the team.
What we're looking for
  • At least three years' experience in data analysis, insight or a related analytical role.
  • A proven track record of delivering complex analytical projects and turning findings into meaningful business recommendations.
  • Experience using data visualisation tools such as Tableau or Power BI.
  • Strong knowledge of statistical analysis, with experience applying advanced analytical techniques to business problems.
  • Excellent analytical and problem-solving skills, with the ability to work confidently with large or complex datasets.
  • The ability to communicate technical findings clearly to non-technical stakeholders.
  • Strong stakeholder management skills and confidence working directly with clients.
  • The ability to work independently, manage competing priorities and take ownership of quality outcomes.
  • A highly curious mindset and a genuine interest in understanding the story behind the data.
  • A degree or relevant professional experience.
  • Willingness to travel to client sites frequently.
Bonus points if you also…
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