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- Tasks: Analyse customer behaviour and performance data to drive insights and support retailer growth.
- Company: Dynamic analytics firm focused on customer intelligence and market performance.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Other info: Join a collaborative team and grow your analytical skills in a fast-paced environment.
- Why this job: Make a real impact by translating data into actionable insights that drive business success.
- Qualifications: 2-4 years in analytics, strong SQL skills, and a knack for storytelling with data.
The predicted salary is between 35000 - 42000 ÂŁ per year.
The Insight Analyst is accountable for delivering high-quality, sector-aligned analytics that deepen understanding of customer behaviour, retailer performance, and media effectiveness. Aligned to a defined industry sector, this role applies structured analytical frameworks to interpret how customers engage, spend, and respond to media and loyalty activity. The Insight Analyst translates behavioural data into commercially meaningful insight that supports retailer growth and performance marketing optimisation. This role is critical in ensuring scalable, accurate analytics delivery while developing expertise in customer intelligence and revenue drivers within the sector.
Responsibilities
- Analyse customer engagement, transaction, and behavioural data within an assigned sector.
- Identify patterns in spend, frequency, retention, and campaign response.
- Support understanding of how loyalty mechanics and media activity influence behaviour.
- Contribute to performance evaluations that explain not just “what happened” but “why.”
- Analyse performance drivers, trends, and risks within the market.
- Support revenue tracking and variance identification.
- Escalate data inconsistencies or performance concerns appropriately.
- Apply established measurement frameworks consistently across the sector.
- Translate analytical outputs into clear, commercially meaningful narratives.
- Contribute to retailer-facing presentations and market updates.
- Support development of thought leadership.
- Identify repeat analysis that can be standardised or improved.
- Maintain data accuracy and integrity across outputs.
- Use SQL and BI tools to extract and structure data effectively.
- Apply defined methodological standards set by the Head of Commerce Media Insight.
- Continuously develop technical and analytical capability.
What Good Looks Like
- Reliable, high-quality outputs with minimal rework.
- Strong understanding of market performance drivers.
- Increasing confidence in explaining commercial implications.
- Growing independence and ownership of local insight delivery.
Requirements
- 2–4 years’ experience in analytics, insights, or commercial data roles.
- Experience in retail, loyalty, media, or customer analytics preferred.
- SQL (Essential) writing and troubleshooting queries involving complex joins, functions, aggregations, subqueries etc.
- Excel (Essential) creating and adapting spreadsheet models including complex formulae, charts, pivots, array functions, lookups etc.
- Familiarity with BI tools (Tableau, Power BI, Looker).
- PowerPoint (Essential) created and adapting high quality presentations and reports for internal and external audiences.
- Comfortable handling large datasets and structured reporting outputs.
- Strong attention to detail and structured thinking.
- Ability to translate data into clear commercial insight.
- Growing understanding of media effectiveness and revenue drivers.
- Curious, proactive, and commercially aware.
- Works effectively across time zones with UK-based teams.
- Escalates issues early and constructively.
- Demonstrates accountability and reliability.
Insights Analyst in London employer: Reward
Contact Detail:
Reward Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insights Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your experience to demonstrate how you've tackled similar challenges in the past.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Tailor your approach to show how your insights can specifically benefit them, especially in retail and customer analytics.
✨Tip Number 4
Keep an eye on our website for the latest job openings. Applying directly through us not only shows your interest but also gives you a better chance of standing out in the crowd!
We think you need these skills to ace Insights Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Insights Analyst role. Highlight your experience in analytics, especially in retail or customer behaviour, and don’t forget to showcase your SQL and Excel skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about insights and how your previous experiences align with our needs. Be sure to mention any specific projects where you've translated data into actionable insights.
Showcase Your Analytical Skills: In your application, give examples of how you've used analytical frameworks to interpret data. We love seeing how you’ve identified trends and patterns in customer behaviour, so don’t hold back on those details!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Reward
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you'll be working with, especially customer engagement and transaction data. Brush up on your SQL skills and be ready to discuss how you've used data to identify trends or patterns in previous roles.
✨Prepare for Scenario Questions
Expect questions that ask you to explain not just what happened in a given situation, but why it happened. Think of examples from your past experience where you analysed data to derive insights and how those insights influenced business decisions.
✨Showcase Your Presentation Skills
Since this role involves translating complex data into clear narratives, practice explaining your findings in a straightforward way. Prepare a mini-presentation on a relevant topic, using PowerPoint to demonstrate your ability to create engaging visuals.
✨Demonstrate Your Curiosity
Be ready to discuss how you stay updated on market trends and customer behaviour. Show your enthusiasm for learning and how you’ve proactively sought out new information or tools to enhance your analytical capabilities.