Graduate Data Operations Analyst

Our Company
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.

Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.

We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.

With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.

The Role

Our Financial Operations (FinOps) team is growing! We’re looking for a Graduate Data Operations Analyst to join our team in London.

From day one, you’ll gain hands-on experience, taking on meaningful responsibility, and making a tangible impact. This role is ideal for an analytical thinker with a passion for driving data optimisation and solving complex problems.

Key Responsibilities

• Data Collection & Validation: You’ll extract data from various systems, verify its accuracy, and apply transformations to make it usable and reliable for our systems.

• Pipeline Monitoring: You’ll check that our data ingestion pipelines are running correctly and flag any issues, helping maintain the integrity of our data operations.

• Quality Assurance: Whether it’s checking for anomalies or validating formats, your attention to detail will keep our data trustworthy and actionable.

• New Data Source Onboarding Support: You’ll assist in testing and validating incoming data from new partners, ensuring our integrations are robust from day one.

• Dashboard Discovery: You’ll learn how our dashboards are built and maintained, understanding the logic behind the numbers and how they support business decisions.

• Process Improvement: You’ll help identify and implement ways to streamline and scale our data processes—bringing more automation, speed and accuracy to the team.

• Documentation: You’ll capture and update business logic, data rules, and key processes to support operational clarity and team knowledge sharing.

• Teamwork: You’ll collaborate with data engineers and team members to troubleshoot issues and ensure timely resolution of data gaps.

• You will use your natural curiosity to stay up to date with design trends and best practices in order to contribute fresh ideas.

• Support other areas of the business as required

About You:

• Bachelor’s degree in data science, computer science, mathematics, economics, business, or a related field (or similar qualification).

• A keen eye for detail and a passion for getting data right—because small errors can make a big difference.

• Comfortable working with spreadsheets (e.g., VLOOKUPs, Pivot Tables) and learning new data tools and platforms.

• A good communicator who can work effectively with people across departments.

• Proactive and inquisitive—you’re not afraid to ask questions and figure things out.

• Organised and methodical in your approach to tasks and documentation.

• Excited by the opportunity to work in a fast-paced, data-driven business environment, and a "can-do" attitude toward repetitive but essential tasks.

• Last but not least, you’ll have no ego!

What You’ll Get

• Private Health Care (Bupa)

• Hybrid Working (3 days in office)

• Travel Insurance

• Competitive Base Salary

• Company Bonus Scheme

• Market-Leading Training Programme

• Recognition & Reward Scheme

• Annual Company Conference (previous destinations: Vienna, Bologna, Dubrovnik, Thessaloniki)

• Regular Happy Hours & Team Lunches

• Free Coffee, Drinks & Snacks

What’s the next step?

Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.

If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at [email protected].