At a Glance
- Tasks: Lead advanced analytics to understand customer behaviour and optimise performance.
- Company: Join a dynamic team focused on impactful insights for major brands.
- Benefits: Enjoy competitive salary, flexible working, and generous holiday options.
- Other info: Mentorship opportunities and a chance to elevate team standards.
- Why this job: Make a real difference with your analytical skills in a supportive environment.
- Qualifications: 4-6 years in analytics with strong SQL and BI tool experience.
The predicted salary is between 60000 - 80000 £ per year.
The Senior Insight Analyst is accountable for delivering advanced, sector-aligned analytics that deepen understanding of customer behaviour, media effectiveness, and revenue performance. Operating with minimal oversight, this role interprets complex behavioural and performance drivers, connects multiple datasets, and translates analysis into clear commercial recommendations. In addition to delivering insight, the Senior Insight Analyst defines and improves analytical approaches, ensuring scalable and consistent methodology across the team.
Responsibilities
- Advanced Customer Behaviour & Performance Analytics
- Lead deep analysis of customer engagement, transaction behaviour, retention, and response to media and loyalty activity.
- Diagnose underlying drivers of performance trends and campaign outcomes, moving beyond surface-level reporting.
- Identify behavioural and commercial optimisation opportunities within the sector.
- Connect customer, media, and revenue datasets to form integrated insight narratives.
- Insight Development & Commercial Application
- Lead complex analytics delivery for retailers within the assigned sector.
- Deliver decision-ready outputs for commercial and retailer discussions.
- Apply and refine established measurement frameworks to suit complex retailer scenarios.
- Escalate material risks or performance concerns with clarity and evidence.
- Media Effectiveness & Revenue Insight
- Interpret media performance and investment effectiveness within the sector.
- Provide commercially grounded recommendations on performance optimisation.
- Support performance marketing conversations with robust, data-led recommendations.
- Contribute to revenue performance interpretation and scenario discussions where required.
- Scalable Framework Development
- Define advanced methodologies that can be reused by the wider team.
- Identify recurring analysis suitable for standardisation.
- Improve efficiency and consistency of sector analytics outputs.
- Act as a quality checkpoint for more junior analysts.
- Thought Leadership & Stakeholder Engagement
- Present analytical findings confidently in commercial forums.
- Create sector insight narratives and thought leadership pieces.
- Act as a trusted analytical partner within the sector.
- Act as a mentor to Insight Analysts, supporting quality and development.
What Good Looks Like
- Delivers analytically rigorous, commercially relevant insight with minimal oversight.
- Demonstrates deep understanding of customer behaviour within the sector.
- Influences commercial decisions through clear recommendations.
- Contributes scalable analytical frameworks that elevate team capability.
- Acts as a trusted analytical partner within the sector.
Requirements
- Experience
- 4–6 years’ experience in analytics, commercial insights, or customer data roles.
- Proven experience analysing customer, retail, loyalty, or media performance data.
- Technical Capability
- Strong SQL capability and confidence interrogating large datasets.
- Advanced Excel and experience using BI tools (e.g. Tableau, Power BI, Looker).
- Comfortable working across integrated datasets and performance frameworks.
- Analytical & Commercial Capability
- Strong diagnostic and critical thinking skills.
- Ability to connect behavioural insight to commercial impact.
- Commercially confident and solution-oriented.
- Comfortable influencing stakeholders with evidence-led recommendations.
- Operates independently with strong ownership.
- Balances rigour with commercial pragmatism.
- Actively develops others and raises team standards.
The Benefits
- Opportunity to work on high-impact analytical challenges with major brands.
- Professional development, training, and mentoring opportunities.
- Competitive salary and benefits package:
- Company holiday: 3 additional days off between Christmas & New Years
- Ability to buy and sell holiday days as well as the ability to bank days (tenure dependant)
- Flexible working options: we are operating a hybrid working model with 3 days a week from the office
- Pension: Hargreaves Lansdown up to 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
Senior Insights Analyst in London employer: Reward
As a Senior Insights Analyst, you will thrive in a dynamic environment that champions analytical excellence and fosters professional growth. Our company offers a competitive salary and benefits package, including flexible working options and generous family-friendly cover, all while providing opportunities to work on high-impact projects with major brands. Join us to be part of a collaborative culture that values your insights and encourages continuous development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Senior 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.
