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.
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
- Analyzing 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: 慨正橡扯
At Domino's, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. 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 real impact on our data-driven decision-making processes. Join us to be part of a supportive team that values your insights and encourages your development in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Aggregator Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Domino’s or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL, Excel, or Power BI. This will help you stand out and demonstrate your ability to turn complex data into clear insights.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your findings to non-technical folks, as this is key for the Aggregator Data Analyst role.
✨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 at Domino’s.
We think you need these skills to ace Aggregator Data Analyst
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your experience with SQL, Excel, and Power BI in your application. We want to see how you've used these tools to turn data into insights, so don’t hold back on sharing specific examples!
Keep It Clear and Concise:When explaining your past experiences, remember that clarity is key. We’re looking for someone who can communicate complex data simply, so use straightforward language and avoid jargon where possible.
Tailor Your Application:Take a moment to customise your application for the Aggregator Data Analyst role. Mention how your skills align with the job description and how you can contribute to our team at Domino’s. Personal touches go a long way!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at 慨正橡扯
✨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 manner. This will highlight your ability to bridge the gap between data and business needs.
✨Show Enthusiasm for Collaboration
Emphasise your willingness to work with different teams, especially with Data Engineering. Talk about any past experiences where collaboration led to improved reporting or data quality. This will align with their focus on teamwork and support within the role.
