R
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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