Insights Manager
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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
Working within the Insight Solutions group, the Insight Manager (12 months - Maternity Cover) is an influential member of the commercial team. The Insight Manager makes a positive difference to our clients through ensuring that personally and collectively we deliver accurate and timely best-in-class insights to clients. The Insight Manager also takes a lead role in creating configurable client solutions where needed and is seen as a go-to insight expert by account management and sales teams.
Responsibilities
- Responsible for both collective and personal delivery of best in class insights to both clients.
- Leads the creation of configurable (i.e. efficient to deliver and re-deliver) solutions for clients where necessary to maintain and build client engagement.
- Regular direct engagement with our most valuable clients, helping build Reward’s reputation as a leading insight business as well as ensuring that clients can act confidently using our insights and any complex needs are clearly understood.
- Take steps – and encourage others to take steps - to understand the customers, companies, opportunities and challenges relating to the commercial team.
- Assumes a prominent role in the day to day operation of the commercial team through regular review, planning and general communication within the group. Offers ideas to benefit the overall success and productivity of the group. This includes representatives from account management, sales and Activation Solutions.
- Adopt and develop ways of working that build team efficiency. This includes appropriate adoption of new technologies and AI.
- Engages with Reward’s Data Product and Data Engineering teams to drive the quality and efficiency of Reward’s insights output in line with the 3 A’s principles (Accuracy, Accessibility, Actionability).
- Ensure the quality and accuracy of both individual and team outputs through development and maintenance of a collective quality control and associated process improvements.
- Contributes and co-ordinates thoughts and ideas to help ensure that Reward’s product catalogue remains aligned with current and future client needs and ahead of our competition.
Requirements
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
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
The Benefits
- Opportunity to work on high-impact analytical challenges with major brands.
- Professional development, training, and mentoring opportunities.
- Competitive salary and benefits package:
- Annual Leave: 25 days + bank holidays
- 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
- 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