At a Glance
- Tasks: Analyse data to shape product delivery and influence business decisions at Domino's.
- Company: Join Domino's, a leading brand in the food industry with a focus on innovation.
- Benefits: Enjoy a supportive environment, skill development, and recognition for your contributions.
- Other info: Hybrid role with opportunities to collaborate across teams and grow your career.
- Why this job: Make a real impact by turning data into actionable insights that drive product success.
- Qualifications: Strong SQL skills and experience with data analysis tools like Power BI or Tableau.
The predicted salary is between 35000 - 45000 £ per year.
This full‑time, hybrid role (office presence 1‑2 days per week) based in either Manchester or Milton Keynes requires you to sit at the intersection of data, customer insight and commercial performance. You will turn complex data into clear recommendations that influence real business decisions across marketing, product and leadership teams, shaping how Domino’s delivers its products to customers.
Responsibilities
- Analyse how new products, promotions and trials perform, looking beyond topline sales to understand real impact, customer response and long‑term value.
- Use customer data, feedback and behavioural trends to build a rounded view of how new products are perceived and adopted.
- Support teams across marketing, finance, product and digital with insight that helps shape future decisions and priorities.
- Support test‑and‑learn activity by measuring outcomes and feeding insights back into future launches.
- Continuously improve how we measure and evaluate innovation, making our approach clearer, more robust and more useful.
Qualifications
- Strong SQL skills, with experience extracting, manipulating and analysing data, and ideally exposure to Python or similar tools for deeper analysis or modelling.
- Experience building clear, reliable dashboards and reports using tools such as Power BI or Tableau.
- Solid understanding of product and commercial performance, including sales, customer behaviour and campaign outcomes, ideally within FMCG, retail or food and beverage.
- Ability to bring together multiple data sources and translate them into clear, actionable recommendations that support business decisions.
- Confident communicator, able to explain complex analysis in a straightforward way, with some exposure to experimentation, A/B testing or test‑and‑learn approaches.
Benefits
- Clear, confidence‑building induction that sets you up for success from day one.
- Support from your manager and team, with the space to ask questions, share ideas and keep learning.
- Opportunities to develop your analytical and data‑science skills as the role grows.
- Exposure to cross‑functional teams and projects, helping you broaden your experience.
- Real recognition for great work, from everyday thank‑you’s to bigger moments like the Domi Awards.
Innovation and Product Insight Analyst at Domino's in Milton Keynes employer: Domino's
At Domino's, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As an Innovation and Product Insight Analyst, you'll benefit from a supportive environment that encourages continuous learning and development, with opportunities to enhance your analytical skills while working alongside cross-functional teams. Our hybrid work model in vibrant locations like Manchester or Milton Keynes allows for a balanced work-life experience, complemented by recognition for your contributions through initiatives like the Domi Awards.
StudySmarter Expert Advice🤫
We think this is how you could land Innovation and Product Insight Analyst at Domino's in Milton Keynes
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Innovation and Product Insight Analyst at Domino's in Milton Keynes
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Domino's, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Domino's. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Domino's
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Domino's!
✨Prepare for Case Studies
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.
