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Aggregator Data Analyst

Job in Milton Keynes, Buckinghamshire, MK1, England, UK
Listing for: 慨正橡扯
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Warehousing, Data Mining
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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
  • 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
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