At a Glance
- Tasks: Analyse customer behaviour and performance to deliver impactful insights.
- Company: Join a dynamic team at a leading analytics firm focused on retail and media.
- Benefits: Enjoy flexible working, competitive salary, and comprehensive health benefits.
- Other info: Collaborative culture with opportunities for professional growth and exciting company events.
- Why this job: Make a real difference by translating data into actionable insights for retailers.
- Qualifications: 2-4 years in analytics with strong SQL and Excel skills required.
The predicted salary is between 35000 - 45000 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
- Customer Behaviour & Performance Analytics: 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.”
- Revenue & Performance Support: 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.
- Insight Development & Commercial Application: 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.
- Data & Methodology: 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
- Experience: 2–4 years’ experience in analytics, insights, or commercial data roles. Experience in retail, loyalty, media, or customer analytics preferred.
- Technical Capability: 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.
- Analytical & Commercial Capability: 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.
Flexible working options: we are operating a hybrid working model with 3 days a week from the office. Pension: Hargreaves Lansdown – 6% matched contribution. Generous family friendly cover. Income protection. Critical illness cover. Life insurance cover. Optical cover. Yulife app for access to employee wellbeing and discounts. Perks at Work, cashback/discount shopping site. Salary sacrifice program which includes cycle to work scheme, electric car scheme and season ticket loans. Company events i.e. Christmas party, all-company event and other social/hosted events during the year (we have an active social committee!).
Insights Analyst employer: Reward
Contact Detail:
Reward Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insights Analyst
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those who work in analytics or insights. A friendly chat can lead to valuable connections and even job leads.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best analytical projects or case studies. When you get the chance to chat with potential employers, share how you've turned data into actionable insights.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for analytics roles. Think about how you can demonstrate your SQL and Excel skills through real-life examples.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Insights Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in analytics, especially in retail or customer behaviour. We want to see how your skills align with the Insights Analyst role, so don’t hold back on showcasing relevant projects!
Show Off Your Technical Skills: Since SQL and Excel are essential for this role, be sure to mention any specific projects where you’ve used these tools. We love seeing examples of how you've tackled complex data challenges, so let us know how you’ve made data work for you!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your insights and experiences are easy to understand. Avoid jargon unless it’s necessary, and focus on what makes you a great fit for the role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for!
How to prepare for a job interview at Reward
✨Know Your Data
As an Insights Analyst, you'll be working with customer behaviour and performance analytics. Make sure you brush up on your SQL skills and understand how to manipulate data effectively. Be prepared to discuss specific examples of how you've used data to derive insights in previous roles.
✨Understand the Sector
Familiarise yourself with the retail and media landscape relevant to the role. Research current trends, challenges, and opportunities within the sector. This will not only help you answer questions but also demonstrate your genuine interest and proactive approach.
✨Translate Data into Insight
Practice explaining complex data findings in simple terms. Prepare to showcase how you've turned analytical outputs into commercially meaningful narratives in past experiences. This skill is crucial for the role, so think of clear examples that highlight your ability to communicate insights effectively.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and analytical thinking. Think about situations where you've had to identify patterns or trends from data and how you approached those challenges. Being able to articulate your thought process will set you apart.