Campaign Insights Analyst

Role

Campaign Insights Analyst - No7 Company

Permanent

Full Time

Nottingham

2nd Jan 2026

Matthew Nelligan

We’re looking for a passionate Campaign Insight Analyst to join the Customer Marketing & Loyalty team in our Nottingham office. Our team's aim is to turn our world-renowned Boots Advantage Card data into clear, actionable insights for our partners. Ultimately, we want customers to receive highly personal, relevant communications that create value for the business. If you’re numerate, logical and curious about customer behaviour, we’d love to hear from you.

Within the Customer Marketing & Loyalty team you will work within the Customer Marketing Analytics team, in an area that specialises in campaign activation for No7 Beauty Company brands.

• Analyse data from multiple sources to identify optimum audiences for our marketing campaigns.
• Build targeted campaign selections.
• Analyse the results for campaigns (across email/DM/app/social).
• Translate findings effectively and present them to our business partners, providing insight that shapes future strategies to improve what we do and guide commercial value.
• Continually improve existing processes and enhance efficiency.
• Work collaboratively with teams across the business to help deliver the best outcomes for our customers.

• Relevant previous experience or a degree with strong quantitative elements (e.g. statistics modules), such as Maths, Physics, Geography, and Psychology.
• Ability to translate business questions into analytical problems, using available data to develop scalable solutions.
• Excellent verbal and written communication skills – presenting complex results to less technical audiences.
• Strong attention to detail.
• Drive to proactively investigate potential problems.
• Ability to organise own workload, often balancing multiple projects and campaigns simultaneously.
• Confidence talking to others and building rapport; working effectively with marketing teams is a key part of the role.

• Proficiency in a coding language such as SQL, R, Python.
• Experience with data visualisation tools such as Power
  
  BI.
• Experience of targeting, optimisation or measurement of Marketing activity, using Adobe campaign or similar.
• Experience using relational databases.
• Demonstrable record of delivering results in a commercial environment.
• Expertise in working with large structured and unstructured data sets.
• Examples of where you have automated business processes.

• Boots Retirement Savings Plan
• Discretionary annual bonus
• Generous employee discounts
• Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
• Flexible benefits scheme, including option to buy additional holiday, discounted gym membership, life assurance, activity passes and more.
• Access to free 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.

We have a great range of benefits in addition to the above that offer flexibility to suit you – find out more s/rewards. Exclusions may apply, eligible roles only.

At Boots, we foster a working environment where consideration and inclusivity help everyone to be themselves and reach their full potential. We are proud to be an equal opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all. As the heart of everything we do at Boots, with you, we change for the better.

Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best. This role requires the successful candidate to complete a Pre‑employment check after receiving an offer.

Depending on your location you will be asked to submit either a DBS, PVG or an Access NI Check. Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case‑by‑case basis.