About Reward
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, NatWest Group, Barclays, and First Abu Dhabi Bank to name a few. Reward also works with the world’s largest retailers such as McDonald’s, eBay, Deliveroo and Amazon.
Their 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. Their 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 E2ETech100 list of fastest growing tech scale-ups in the UK. Reward, in conjunction with partners NatWest Group, was also awarded the Industry Achievement Award 2023 at the prestigious Card and Payments Awards.
Role Summary
As a Lead Insights Delivery Analyst, you will play a critical role in supporting our clients with high-quality, timely and commercially meaningful data insights.
Sitting within the Data Team and reporting to the Data Director, you will lead a small team of analysts responsible for managing client relationships, resolving data-related issues, and delivering scheduled insight outputs.
You will serve as the bridge between clients and internal technical teams - ensuring clients receive clear, accurate and timely insights, while collaborating within Reward to proactively troubleshoot data issues and uphold the highest standards of data quality. The role blends hands-on analysis, operational oversight, and client-facing delivery.
This is a new position designed to elevate client satisfaction, strengthen internal delivery processes, and enhance the commercial impact of our insight products.
Responsibilities
Client Insight Delivery
* Lead the end-to-end delivery of scheduled data and insight outputs for clients, ensuring 100% on-time and high-quality delivery
* Act as the primary point of contact for client insight queries, clarifying requirements, resolving issues and ensuring strong ongoing engagement
* Translate data findings into clear, actionable insights tailored to client needs and commercial objectives
* Present insight outputs to stakeholders in a confident, clear and commercially-minded way.
Data Quality & Troubleshooting
* Investigate and resolve client data issues by analysing root causes and coordinating with internal data engineering and analytics teams
* Embed strong quality control processes and conduct rigorous quality checks on data extracts, reports and insight deliverables to ensure accuracy and consistency
* Monitor data pipelines and processes to identify anomalies and proactively prevent issues before they impact clients.
Analysis & Insight Generation
* Perform deep-dive analysis into data trends, behaviours and performance indicators to identify actionable opportunities for clients
* Use tools such as Python, Excel and AWS-based datasets to produce robust, insightful analysis
* Maintain and continuously improve insight methodologies, documentation and delivery processes.
Leadership & Team Management
* Lead, coach and support a small team of analysts, fostering motivation, ownership and high performance
* Allocate workloads, oversee delivery schedules and ensure analysts have clear priorities and development opportunities
* Promote a culture of commercial awareness, curiosity and continuous improvement within the team.
Requirements
Minimum Qualifications
* 3+ years of experience in insight delivery, data analysis, or a client-facing analytics role
* Proven ability to translate complex data into meaningful insights and recommendations
* Hands-on experience with Python, Excel and AWS-based datasets (S3, Glue), SQL Server
* Strong analytical and problem-solving skills, with attention to detail and a commitment to data accuracy
* Demonstrated experience supporting or managing clients, including resolving data issues and handling queries
* Familiarity with operational insight delivery processes (SLAs, workflows, quality checks)
* Experience leading or mentoring analysts, or operating as a team lead.
Behavioural Skills
* Commercial mindset with the ability to understand client needs and business impact
* Able to communicate clearly and influence at all levels
* Fast, proactive and solutions-oriented, with the ability to manage multiple priorities
* Strong ownership, accountability and drive for continuous improvement.
The Benefits
* Annual Leave: 25 days + bank holidays
* 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
* Employee share scheme
* Generous family friendly cover
* Private healthcare - Bupa
* Income protection
* Critical illness cover
* Life insurance cover
* Dental cover
* Optical cover
* Yulife app for access to employee wellbeing and discounts
* Perks at Work, cashback/discount shopping site
* Employee referral scheme
* Salary sacrifice program which includes cycle to work scheme, electric car scheme and season ticket loans
* Volunteering program
* Company events i.e. Christmas party, all-company event and other social/hosted events during the year (we have an active social committee!)
* Team socials