Data Administrator

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

Data is at the heart of Reward’s business, and the Data Administrator is at the heart of ensuring the data meets the needs of Reward’s product portfolio. The individual will need to work well with others in a fast‑paced professional team. The successful candidate will contribute to the delivery of an excellent service to our clients by primarily excelling in improving the quality of our data.

Responsibilities

• Attribution of associated meta data to allow merging
• Quality control of system generated reporting to ensure accuracy
• Validation of data using advanced formulas in Excel (Lookups, pivot tables and advanced formula building)
• Ensuring self‑compliance to ISO27001
• Updating documentation as required

Requirements

• Working knowledge of MS Office suite
• Very good knowledge of MS Excel.
• Working Knowledge of Power Pivot or Power Query will be an advantage.
• Experience of working with large data sets
• Excellent attention to detail
• Ability to work unsupervised
• SQL experience would be nice to have
• 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 – 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

• Entry level

Employment type

• Full‑time

Job function

• Advertising, Marketing, and Finance

Industries

• Advertising Services, Marketing Services, and Financial Services

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London, England, United Kingdom