python Work, Jobs in hockliffe, bdf (with Salaries)

Aggregator Data Analyst
Dominos —Milton Keynes
- Full-time
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SDG Group —Milton Keynes
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Test Systems Software Engineer
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Embedded Sofware Engineer
ETL Systems Ltd —Rickmansworth
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- Employee assistance programme
- Employee discount

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Aggregator Data Analyst

Dominos -
Milton Keynes

Apply Now

Job details

Permanent | Full-time
9 days ago

Qualifications

Power BI
R
SQL
Python

Full job description

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
Experience improving reporting or building dashboards

It’s a bonus if you have:

Experience in retail, QSR, or commercial/trading environments
Knowledge of Python or R

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 recipe for success? Our DomiDNA:

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!

Apply Now

Refine Your Search

python jobs in hockliffe, bdf

Aggregator Data Analyst

Machine Learning DSP Engineer

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