At a Glance
- Tasks: Transform complex data into clear insights for smarter business decisions.
- Company: Join the innovative team at Domino's, a leading pizza company.
- Benefits: Hybrid work model, skill development, and a collaborative environment.
- Other info: Be part of a diverse team that values authenticity and innovation.
- Why this job: Shape reporting and drive impactful decisions in a growing area of the business.
- Qualifications: Experience in data analytics, strong SQL and Excel skills required.
The predicted salary is between 35000 - 45000 £ per year.
Overview
hackajob is collaborating with Dominos Pizza UK & Ireland to connect them with exceptional professionals for this role.
About The Role
Aggregator Data Analyst Milton Keynes or Manchester | Hybrid (2 days in office)
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
About Us & Belonging At Domino’s
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.
Our values
- We Mean Business
- We Always Deliver
- We’re Open to New Flavours
- We’re Tastier Together
If you share our values and are ready to be part of a world-class team that's as passionate about people as we are about pizza, apply now and join the Domino's UK & Ireland family!
Aggregator Data Analyst in Milton Keynes employer: hackajob
At Domino's, we pride ourselves on being a forward-thinking and inclusive employer, offering a dynamic work environment in Milton Keynes or Manchester. As an Aggregator Data Analyst, you'll have the opportunity to shape reporting processes while collaborating with a talented team of data specialists. With a hybrid working model, ample opportunities for professional growth, and a culture that values diversity and teamwork, Domino's is an excellent place to build a rewarding career in the fast-paced world of food delivery.
StudySmarter Expert Advice🤫
We think this is how you could land Aggregator Data Analyst in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Domino's on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data analysis skills. Be ready to discuss how you've turned complex data into actionable insights in your previous roles. Show them you can make data sing!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to communicate data clearly to non-technical folks. Practice explaining a complex dataset in simple terms – it’s a key part of the job!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Domino's family. Let’s get you that interview!
We think you need these skills to ace Aggregator Data Analyst in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Aggregator Data Analyst role. Highlight your experience with SQL, Excel, and Power BI, and don’t forget to mention any relevant projects or achievements that showcase your data skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how your background aligns with Domino's mission. Keep it engaging and personal – we want to see your personality!
Showcase Your Analytical Skills:In your application, be sure to include examples of how you've turned complex data into actionable insights. This is key for the role, so demonstrate your ability to communicate data clearly to non-technical audiences.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at hackajob
✨Know Your Data Tools
Make sure you brush up on your SQL, Excel, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past roles, especially when it comes to analysing large datasets and generating reports.
✨Understand the Business
Familiarise yourself with Domino's business model and how data impacts their operations. Think about how you can contribute to their goals by turning complex data into actionable insights that support teams and franchise partners.
✨Prepare for Scenario Questions
Expect questions that ask you to explain how you would handle specific data challenges or scenarios. Practice articulating your thought process clearly, especially for non-technical audiences, as this is crucial for the role.
✨Show Your Passion for Data
Demonstrate your enthusiasm for data analytics and how it drives decision-making. Share examples of how you've improved reporting or built dashboards in previous roles, and be ready to discuss any experience you have with Python or R.
