Aggregator Data Analyst in Milton Keynes

Aggregator Data Analyst in Milton Keynes

Milton Keynes Full-Time 35000 - 45000 £ / year (est.) Home office (partial)
Dominos Pizza UK & Ireland

At a Glance

  • Tasks: Transform complex data into clear insights to support teams and franchise partners.
  • Company: Join Domino's, the world's leading pizza company with a tech-savvy approach.
  • Benefits: Hybrid working, skill development, and a collaborative team environment.
  • Other info: Be part of a diverse team that values authenticity and innovation.
  • Why this job: Shape reporting and drive smarter decisions in a growing area of the business.
  • Qualifications: Experience in data analytics, strong SQL and Excel skills, and a relevant degree.

The predicted salary is between 35000 - 45000 £ per year.

hackajob is collaborating with Dominos Pizza UK & Ireland to connect them with exceptional professionals for this role.

About The Role

At Domino’s, data helps us make better decisions every day. As an Aggregator Data Analyst, you’ll turn complex data from platforms like Uber Eats and Just Eat into clear, useful insights that support our teams and franchise partners. This is a great opportunity to shape how we report and understand aggregator performance, helping drive smarter decisions across the business.

What You’ll Bring

  • Experience in a data or analytics role (typically 3+ years)
  • Strong skills in SQL, Excel and Power BI (or similar tools)
  • A degree in a relevant field (e.g. Data, Business, Maths)
  • Confidence working with large datasets and multiple data sources
  • Ability to explain data clearly to non-technical audiences

It’s a bonus if you have:

  • Experience in retail, QSR, or commercial/trading environments
  • Knowledge of Python or R
  • Experience improving reporting or building dashboards

What You’ll Be Doing

  • Producing weekly and monthly reports on sales, demand, discounting and performance
  • Building and improving aggregator reporting packs for internal teams and franchisees
  • Tracking promotion and campaign performance across aggregator platforms
  • Analysing trends, identifying risks and explaining performance clearly
  • Working with Data Engineering to improve reporting, automation and data quality
  • Supporting teams with insights that guide day-to-day trading decisions

How We’ll Support You

  • The chance to shape and improve reporting in a growing area of the business
  • A collaborative team of analysts and data specialists
  • Opportunities to develop your skills and take on more responsibility as the function grows
  • A hybrid working approach that balances flexibility and team connection

At Domino’s, everyone brings something different—and that’s what makes us stronger. We value clear thinking, teamwork and people who take pride in what they do. You’ll be part of a team that turns data into action, helping the business grow while supporting our franchise partners. You bring the flavour. Together, we deliver delicious.

Dominos Pizza UK & Ireland

Contact Details:

Dominos Pizza UK & Ireland Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Aggregator Data Analyst in Milton Keynes

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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 Dominos Pizza UK & Ireland.

Apply Directly through Our Website

When you find a suitable opening like Aggregator Data Analyst at Dominos Pizza UK & Ireland, 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 Aggregator Data Analyst in Milton Keynes

SQL
Excel
Power BI
Data Analysis
Large Dataset Management
Communication Skills
Reporting Skills

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 Dominos Pizza UK & Ireland, 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 Dominos Pizza UK & Ireland. 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 Dominos Pizza UK & Ireland

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 Dominos Pizza UK & Ireland!

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.