At a Glance
- Tasks: Lead insights and drive commercial performance in a dynamic retail environment.
- Company: Join Reward, a leading tech company transforming customer engagement globally.
- Benefits: Enjoy flexible working, generous holiday options, and comprehensive health benefits.
- Other info: Be part of a purpose-driven team recognised as a Great Place to Work.
- Why this job: Make a real impact by turning data into actionable insights for top brands.
- Qualifications: 6+ years in retail or marketing insights with strong analytical skills.
The predicted salary is between 54000 - 66000 £ per year.
Founded in 2001, Reward is an industry leader transforming the world of customer engagement and commerce media.
Operating in 15 countries across Europe, Middle East and Asia, Reward’s cloud-based API platform integrates content, advertising, and commerce to deliver exceptional experiences for consumers resulting in increased customer engagement, retention, and overall satisfaction.
Reward’s Loyalty-tech platform is behind many award-winning bank loyalty programmes seen today from brands such as Visa, Nat West Group, Barclays, and First Abu Dhabi Bank to name a few.
Reward also works with the world’s largest retailers such as Mc Donald’s, e Bay, Deliveroo and Amazon.
Our leading commerce media platform fuses purchase insights with loyalty-tech, offering an unparalleled edge in digital advertising and performance marketing for retailers.
Leveraging rich data and insights, the Reward platform provides a comprehensive view of consumer behaviour, empowering retailers to target marketing messages more effectively, resulting in independently verified sales uplift and long-term customer lifetime value.
Beyond bridging the gap between content and commerce, Reward is a purpose driven business.
Our mission is to make everyday spending more rewarding.
During the last 5 years, Reward has proudly given back more than $1billion in cashback rewards to consumers world-wide.
Most recently, Reward’s rapid growth was recognised in The Independent’s E2E Tech 100 list of the fastest-growing tech scale-ups in the UK.
Reward, in conjunction with partners Nat West Group, were awarded the Industry Achievement Award 2023 at the prestigious Card and Payments Awards.
In 2026, Reward was also recognised as a Great Place to Work UK, ranking #41, and was named on Great Place to Work UK’s Best Workplaces for Development™ List, placing #37 in our first year of entry.
Role Summary
The Lead Insight Analyst leads insight delivery and commercial performance across a defined Commerce Media vertical.
This role works closely with Commercial teams and retailers to turn customer, campaign and revenue insight into clear activation plans that support growth, protect performance and identify new revenue opportunities.
Alongside owning insight for a strategic sector, the Lead sets quality standards across the vertical, develops Analysts and Senior Analysts, and ensures insight is used to make better commercial decisions.
Responsibilities
- Vertical & Sector Revenue Leadership
- Own the insight agenda across the vertical, aligned to commercial growth priorities.
- Directly lead analytics for aligned sector within the vertical.
- Take accountability for identifying revenue risks and growth opportunities within that sector.
- Ensure performance, engagement, and revenue outcomes are actively monitored and optimised.
- Work alongside Commercial teams to proactively identify new retailer opportunities.
- Lead revenue performance reviews across the vertical and priority sector.
- Shape optimisation plans with Commercial and Marketing partners.
- Support forecasting interpretation and improvement discussions
- Measurement & Framework Direction
- Embed agreed analytical and measurement frameworks across the vertical.
- Improve how frameworks are applied to complex retailer and sector challenges.
- Identify where existing approaches are unclear, inconsistent or not fit for purpose.
- Feed practical requirements and improvement opportunities into the Senior Lead and/or Head of Insights.
- Ensure measurement outputs are commercially useful, consistent and clearly understood by Commercial teams and clients.
- Strategic Stakeholder Influence
- Act as an extension of the Commercial team, contributing to retailer strategy, account planning and growth conversations.
- Lead insight input in high-value pitch and performance conversations.
- Influence investment and engagement strategy within the aligned sector.
- Position insight as a driver of revenue growth and competitive advantage.
- Capability & Standards Leadership
- Manage Senior and Insight Analysts.
- Embed agreed quality standards across the vertical.
- Elevate commercial thinking and analytical rigour.
Requirements
Experience
- 6+ years’ experience in retail, loyalty, marketing effectiveness or commercial insights.
- Proven track record of leading complex analytical initiatives that influence commercial strategy and revenue outcomes.
- Experience owning high-value sectors, portfolios, or revenue-critical workstreams.
- Demonstrated ability to operate as a trusted analytical partner to senior Commercial and Marketing stakeholders.
- Analytical & Technical Capability
- Strong SQL capability and confidence interrogating complex, large-scale datasets.
- Advanced analytical thinking with the ability to connect customer behaviour, media performance and revenue drivers.
- Experience integrating multiple data sources to form cohesive, commercially relevant insight.
- Comfortable applying statistical reasoning and structured experimentation principles.
- Proficiency in BI and visualisation tools (e. g. Tableau, Power BI, Looker) to communicate complex findings clearly.
- Uses AI and analytical tools to strengthen commercial insight, identify growth opportunities and enhance decision‑making across the vertical.
- Commercial & Strategic Capability
- Strong commercial mindset with ability to prioritise analysis based on revenue impact.
- Proven ability to translate insight into clear strategic recommendations.
- Experience contributing to performance reviews, forecasting interpretation, or revenue optimisation discussions.
- Confident influencing and challenging stakeholders constructively using evidence.
- Demonstrates ownership of vertical‑level performance and accountability for revenue outcomes.
- Applies and embeds agreed methodologies across the vertical.
- Manages and develops Senior and Insight Analysts.
- Operates with autonomy, judgement and commercial awareness.
- Proactively identifies risks and growth opportunities.
- 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 (we have an active social committee!)
- #J-18808-Ljbffr
Lead Insight 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.
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We think this is how you could land Lead Insight Analyst in London
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We think you need these skills to ace Lead Insight Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Reward. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Reward
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Reward!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
