At a Glance
- 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 £ 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
Reward is an exceptional employer that prioritises innovation and employee development within the dynamic field of customer engagement. With a strong commitment to work-life balance, flexible working arrangements, and a supportive culture, employees are empowered to thrive while contributing to meaningful client solutions. The company also offers competitive benefits, including pension contributions and family-friendly policies, making it an attractive place for professionals seeking growth and impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Insights Analyst in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Reward!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Insights Analyst in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Reward, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Reward
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Reward’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
