At a Glance
- Tasks: Analyse customer behaviour and provide insights to improve marketing strategies.
- Company: Join Domino's, a leading brand in the food delivery industry.
- Benefits: Supportive team environment, career growth opportunities, and recognition for your contributions.
- Other info: Dynamic role based in Manchester or Milton Keynes with a focus on collaboration.
- Why this job: Make a real impact by turning data into actionable insights for customer engagement.
- Qualifications: Experience with data analytics, SQL skills, and familiarity with reporting tools.
The predicted salary is between 30000 - 40000 £ per year.
Help us deliver for our customers, every day. At Domino’s, you bring the flavor. Together, we deliver delicious.
What You’ll Bring
- This role is perfect if you enjoy working with data to solve real business problems and want to build your career in customer analytics.
- You’ll be based in Manchester or Milton Keynes, working closely with marketing and digital teams to turn customer behaviour into meaningful insight.
- Experience working with data in an analytics, data science or insights role, ideally within a retail or e‑commerce environment.
- Strong SQL skills, with the ability to extract, manipulate and analyse large datasets.
- Experience with customer analytics, including segmentation (e.g. RF/RFM) and lifecycle analysis.
- Experience using reporting or visualisation tools (e.g. Excel, Power BI, Tableau, Python or R).
What You’ll Be Doing
- Help us understand what our customers are doing and why and turn that into insight teams can act on.
- You’ll work closely with marketing, CRM and commercial teams, supporting campaigns and helping improve how we connect with customers.
- Analyse customer behaviour, performance and segmentation to identify trends, opportunities and risks.
- Support campaign analysis and recommend ways to improve targeting, engagement and customer value.
- Build and maintain reports, dashboards and datasets to support ongoing insight and decision‑making.
- Work closely with marketing and digital teams to provide clear, structured insight that informs strategy.
- Identify ways to improve reporting, data quality and analytical approaches over time.
How We Will Support You
- A clear, confidence‑building induction so you understand your role and how your work connects to the wider business.
- Support from your manager and team, with people who will help you build your skills and grow your confidence in analytics.
- Opportunities to develop your technical and commercial understanding, with clear progression pathways within the team.
- Recognition for great work, both in day‑to‑day moments and through wider company initiatives.
Customer Analyst employer: Domino's Pizza (UK & Ireland) Plc
At Domino's, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. As a Customer Analyst based in Manchester or Milton Keynes, you'll enjoy comprehensive support for your professional growth, with clear pathways for advancement and recognition for your contributions. Join us to not only analyse customer insights but also to be part of a team that values your input and encourages you to thrive in the dynamic world of retail analytics.
Contact Details:
Domino's Pizza (UK & Ireland) Plc Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Customer Analyst
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We think you need these skills to ace Customer Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
