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Insights Analyst

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Onsite

Insights Analyst

Reward

Insights Analyst

Skills

SQL Queries

2 months ago

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Important information


Location:

London, UK

Work mode:

Onsite

Published on:

10 September 2026

What they need


Who you are

  • 3+ years’ experience in an Insight Analyst, Commercial Analyst, Customer Insight or similar role
  • Strong SQL skills for querying and analysing data
  • Advanced Microsoft Excel skills, including working with large datasets, PivotTables and lookup functions
  • Excellent PowerPoint skills, with the ability to create clear, engaging, executive-level presentations
  • Excellent communication skills with the ability to explain analytical findings clearly to both technical and non-technical audiences
  • Demonstrated ability to build a clear story from data rather than simply reporting numbers
  • Strong analytical and problem-solving skills with experience working across multiple data sources
  • Experience working in a consultancy or agency environment is highly desirable, with exposure to managing multiple stakeholders or clients
  • Comfortable balancing analytical rigour with commercial thinking and practical recommendations
  • Experience presenting directly to senior stakeholders or clients
  • A passion for understanding customer behaviour and using data to solve business problems

What the job involves

  • We are looking for an experienced Insight Analyst with 3+ years’ experience in delivering actionable business insights. This role is ideal for someone who enjoys translating complex data into clear, compelling stories that drive commercial decisions
  • Analyse customer, market and commercial data to identify meaningful trends, opportunities and business insights
  • Translate complex analysis into clear, concise recommendations for stakeholders at all levels
  • Create high-quality PowerPoint presentations that communicate insights in a compelling and visually engaging way
  • Develop data-driven narratives using basic storytelling techniques to influence business decisions
  • Present findings confidently to internal teams and clients, explaining both the “what” and the “why” behind the data
  • Work closely with cross-functional teams to understand business challenges and recommend data-led solutions
  • Use SQL and Excel to extract, manipulate and analyse data from multiple sources

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