At a Glance
- Tasks: Lead a small analytics team to uncover insights and drive data-driven decisions.
- Company: Join Domino’s Pizza, a leading brand in the UK & Ireland.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration across Marketing, Digital, Product, and Operations.
- Why this job: Make an impact by shaping customer insights that influence key business strategies.
- Qualifications: Experience in analytics, SQL, and leadership skills required.
The predicted salary is between 49500 - 60500 £ per year.
Domino’s Pizza UK & Ireland Ltd is seeking a Customer & Consumer Analytics Manager to shape data-driven decisions and guide a small analytics team.
You’ll balance hands-on data work with people leadership to uncover insights across customer, consumer and market topics for the UK & Ireland business.
You’ll own SQL-driven analyses, build dashboards in Power BI/Tableau, and translate findings into clear recommendations for Marketing, Digital, Product and Operations.
Hybrid work in the UK is offered.
#J-18808-Ljbffr
Senior Customer Analytics & Insights Leader (Hybrid) in Milton Keynes employer: Domino’s Pizza UK & Ireland Ltd
At Domino's, we pride ourselves on being more than just a pizza company; we are a vibrant and dynamic workplace where creativity thrives. As a Consumer PR Manager, you'll join a fast-paced, collaborative marketing team that values your ideas and encourages innovation, allowing you to make a real impact on our brand. With ample opportunities for professional growth and the chance to work on high-profile campaigns that capture national attention, Domino's is an excellent employer for those looking to shape cultural conversations in the UK.
Contact Details:
Domino’s Pizza UK & Ireland Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Analytics & Insights Leader (Hybrid) in Milton Keynes
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Domino’s Pizza UK & Ireland Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Customer Analytics & Insights Leader (Hybrid) at Domino’s Pizza UK & Ireland Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Domino’s Pizza UK & Ireland Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Customer Analytics & Insights Leader (Hybrid) at Domino’s Pizza UK & Ireland Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Customer Analytics & Insights Leader (Hybrid) 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 Pizza UK & Ireland Ltd, 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 Pizza UK & Ireland Ltd. 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 Pizza UK & Ireland Ltd
✨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 Pizza UK & Ireland Ltd!
✨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.