Senior Insight Manager

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 $1bn in cashback rewards to consumers worldwide.

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 Overview

As a Senior Insight Manager, you will play a pivotal role in transforming complex datasets into actionable insight for clients. You will lead analytical workstreams, shape the development of insight products, and deliver compelling stories that support client strategies. A core part of this role is leading and owning relationships with high‑profile clients and consistently delivering accessible, accurate, and actionable insight. You will also champion the use of AI and emerging analytical tools, ensuring our approaches remain innovative, efficient, and future‑focused.

Analytics & Insight Delivery

• Lead the design, execution, and interpretation of analytical projects across a range of customer and market insights.
• Develop clear and compelling insight narratives that translate complex findings into commercial recommendations.
• Build statistical and predictive models (e.g., multiple linear regression, clustering) that support strategic planning, including location planning and customer segmentation.
• Leverage AI‑enhanced analytical methods and drive the adoption of new tools and technologies, ensuring the team continuously evolves and delivers high‑quality outputs at scale.

Client & Relationship Management

• Lead high‑profile and strategically important clients, ensuring exceptional service and proactive, strategic guidance.
• Nurturing long‑term relationships through frequent engagement, reliable delivery, and meaningful insight.
• Present analytical findings in a clear and engaging way, supporting clients to act on insight.
• Shape and scope proposals that address client needs while positioning Reward’s insight capabilities effectively.
• Support the wider Reward team in engaging and selling Reward services to new and existing clients.
• Collaborate with internal teams to ensure insight is aligned with client needs and strategic direction.

Technical & Operational Excellence

• Own data processes, ensuring analytical outputs are accessible, accurate and actionable.
• Work with wider teams to enhance data pipelines and improve access to insight.
• Champion modern analytical practices, including scalable modelling frameworks and AI‑assisted data processing.
• Mentor other analysts, providing guidance, coaching, and quality oversight.

Skills

• Expert proficiency Excel and/or equivalent analytical tool/language (Python, R).
• Highly numerate and familiar with statistics, i.e. correlations, standard deviations, use of control groups.
• Proven ability to turn data into stories that clients understand and value.
• Excellent communication skills and a passion for developing long‑term client partnerships through insight.
• Experience building customer‑level analytical models (e.g., segmentations) is highly desirable.
• Experience with AI/machine learning tools is also highly desirable.

Outlook

• Positive and adaptable.
• Determined to make a difference.

Experience

• Must have strong numerical background either through a degree or relevant professional experience.
• Strong experience (4+ years) in an insight, analytics or data science role—ideally within a relevant sector, i.e. Hospitality or Retail.
• Ability to buy and sell holiday days as well as the ability to bank days (tenure dependent).

Benefits and Perks

• Flexible working options: we are operating a hybrid working model with 3 days a week from the office.
• Pension: Hargreaves Lansdown – 6% matched contribution.
• Employee share scheme.
• 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!).
• Team socials.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Advertising and Marketing

Industries: Advertising Services, Marketing Services, and Financial Services