Aggregator Data Analyst

Aggregator Data Analyst

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
hackajob

At a Glance

  • Tasks: Transform complex data into clear insights to drive smarter decisions.
  • 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: Inclusive culture that values diversity and celebrates authenticity.
  • Why this job: Shape reporting in a growing area and make a real impact on business decisions.
  • Qualifications: Experience in data analytics, strong SQL and Excel skills, and a relevant degree.

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.

About Us

Domino's UK & Ireland

Who are we? A forward-thinking, inclusive world's leading pizza company: Domino's is the world's leading pizza company, with over 1,300 stores across the UK and Ireland. We're committed to using the freshest, highest-quality ingredients to create over 110 million delectable pizzas each year. Plus, we're a tech-savvy and data driven bunch – 90% of our system sales come through digital channels and 75% of our digital orders coming via the app we have 9.5 million active app customers!

Our mission? To be the go-to choice for food delivery and collection by crafting hot, freshly made pizzas that earn us accolades and the loyalty of millions of pizza enthusiasts worldwide. We're all about innovation, growth, and a commitment to excellence.

At Domino's, we embrace the power of diversity and foster an inclusive environment where everyone feels valued, respected, and empowered. We celebrate the uniqueness of each individual, regardless of their identity, background, or any other characteristic. When you join our team, you join a family that welcomes and celebrates authenticity!

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 employer: hackajob

At Domino's UK & Ireland, we pride ourselves on being a forward-thinking and inclusive employer that values diversity and collaboration. As an Aggregator Data Analyst, you'll have the opportunity to shape reporting in a growing area of our business while enjoying a hybrid working model that promotes flexibility and team connection. With a commitment to employee growth and a culture that celebrates individuality, you'll be part of a dynamic team dedicated to turning data into actionable insights that drive our success.

hackajob

Contact Details:

hackajob 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 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 forget to showcase your soft skills! Being able to explain data clearly to non-technical folks is key. Think of examples where you’ve done this before and be ready to share them.

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 being part of the Domino's family. Let’s get you that interview!

We think you need these skills to ace Aggregator Data Analyst

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

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. Be sure to mention your ability to communicate complex data insights clearly.

Showcase Your Analytical Skills:In your application, provide examples of how you've used data to drive decisions in previous roles. Whether it's improving reporting or analysing trends, we want to see how you can bring value to our team.

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 this exciting opportunity at Domino's!

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 insights.

Prepare for Real-World Scenarios

Think about specific examples where you've turned complex data into actionable insights. Be prepared to explain your thought process and how your findings impacted decision-making in previous roles.

Communicate Clearly

Since you'll need to explain data to non-technical audiences, practice simplifying complex concepts. Use relatable examples to demonstrate how your insights can drive business decisions, especially in a fast-paced environment like Domino's.

Show Your Passion for Data

Express your enthusiasm for working with data and how it can shape business strategies. Share any personal projects or experiences that highlight your commitment to continuous learning in the field of data analytics.