At a Glance
- Tasks: Transform complex data into clear insights to support teams and franchise partners.
- Company: Join Domino’s, a leader in the food delivery industry with a focus on data-driven decisions.
- Benefits: Hybrid work model, skill development opportunities, and a collaborative team environment.
- Other info: Exciting chance to work with large datasets and improve reporting in a dynamic setting.
- Why this job: Shape reporting processes and make impactful decisions in a growing business area.
- Qualifications: 3+ years in data analytics, strong SQL and Excel skills, relevant degree required.
The predicted salary is between 40000 - 50000 £ per year.
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
Bonus Skills
- 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
Aggregator Data Analyst employer: Domino's Pizza (UK & Ireland) Plc
At Domino's, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. As an Aggregator Data Analyst in Milton Keynes or Manchester, you'll enjoy the benefits of hybrid working, opportunities for professional growth, and the chance to make a meaningful impact on our data-driven decision-making processes. Join us to be part of a dynamic team where your insights will shape the future of our business.
Contact Details:
Domino's Pizza (UK & Ireland) Plc Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Aggregator Data Analyst
✨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 might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your data analysis projects, especially those involving SQL, Excel, or Power BI. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on explaining complex data insights in simple terms. You’ll need this skill to impress non-technical audiences during your interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Aggregator Data Analyst
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 our needs at Domino’s. Keep it concise but engaging – 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. We love seeing how you’ve made an impact in previous roles, especially if it involved improving reporting or building dashboards.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Domino's Pizza (UK & Ireland) Plc
✨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 working with large datasets. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Prepare for Real-World Scenarios
Think about specific examples where you've turned complex data into actionable insights. Prepare to explain how you approached the analysis, what challenges you faced, and how your findings impacted decision-making. This will demonstrate your analytical thinking and problem-solving skills.
✨Communicate Clearly
Since you'll need to explain data to non-technical audiences, practice simplifying complex concepts. You might be asked to present a past project or analysis, so focus on how you can convey your insights in an easy-to-understand way. This will highlight your ability to bridge the gap between data and business needs.
✨Show Enthusiasm for Collaboration
Emphasise your experience working in teams, especially with cross-functional partners. Discuss how you've collaborated with others to improve reporting or build dashboards. This will align with Domino's collaborative culture and show that you're a team player who values input from different perspectives.
