At a Glance
- Tasks: Analyse data to drive insights and improve operational efficiency in a dynamic tech environment.
- Company: Join Just Eat Takeaway.com, a leading global online food delivery marketplace.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a fun, fast-paced culture that values diversity and inclusion.
- Why this job: Make a real impact by transforming complex data into actionable insights for leadership.
- Qualifications: Strong SQL skills, experience with analytics engineering, and proficiency in Tableau required.
The predicted salary is between 49500 - 60500 £ per year.
Position: Operational Data Analyst
Department: Product - Operations
Reporting to: Technical Program Manager
Location: London
Hybrid role: 3 days a week from our London office & 2 days working from home
Full time / Part time: Full time
Ready for a challenge? Just Eat Takeaway.com is a leading global online food delivery marketplace, connecting millions of customers with restaurants and grocery partners. We're on a mission to empower convenience and deliver exceptional experiences through technology and innovation.
About this role
We are looking for an Operational Data Analyst to join our Tech Operations team—a hands-on, high-ownership role sitting at the intersection of data engineering, commercial analysis, and strategic insight. You will own the reporting that tells our technology and product leadership how effort is being spent, how fast we are delivering, and whether what we build is working.
You will inherit a strong foundation—a working FTE allocation report, a data pipeline in active development, and a clear roadmap of what comes next. The challenge is to complete that pipeline, extend it into new reporting domains, and evolve the function from operational reporting toward genuine commercial insight.
This is not a role for someone who waits to be asked. The best candidate will identify the next question before leadership does. You will work closely with engineering leadership, product leadership, and finance, bringing rigour to how we plan, prioritise, and measure our work across the technology and product organisation.
These are some of the key components to the position:
- Own and maintain the FTE Allocation Report—our primary view of how Tech headcount is distributed across OKRs, business operations, and maintenance activity, ensuring accurate data models and leadership-ready reporting.
- Build out engineering velocity reporting including flow metrics (lead time, cycle time, throughput), establish baseline measurements, and make delivery performance visible to engineering and product leadership.
- Work alongside data engineers to bring the automated pipeline into production—replacing manual refresh processes with scheduled, monitored, production-grade solutions, owning SQL logic, column/grain definitions, and QA.
- Connect engineering effort to business outcomes by linking FTE allocation and delivery performance to product metrics and commercial results, defining what ROI and commercial insight looks like incrementally.
- Extend reporting scope from how we build to what we built and whether it works—shaping adoption, usage, and deprecation reporting that serves both product and technology leadership.
- Turn complex, ambiguous data into clear, actionable insight for non-technical audiences, presenting findings and recommendations confidently to senior leadership including technology and product directors.
- Design reporting methodology—defining what should be measured and why—and manage multiple workstreams with different stakeholders and time horizons simultaneously.
- Ensure strong documentation practices, leaving systems and processes better explained than you found them.
What will you bring to the team?
- Strong SQL proficiency beyond querying—comfortable writing dimensional tables, fact tables, complex joins, and specifying them precisely for engineers to build from.
- Analytics engineering and orchestration experience, writing modular, templated SQL (using Jinja) to build, orchestrate, and schedule automated data pipelines.
- Proficiency in Tableau with a proven track record of building self-service dashboards for senior stakeholders.
- Familiarity with engineering data systems and underlying data models/raw schemas of platforms such as GitHub audit logs and Jira issue metadata.
- Proven ability to turn complex, ambiguous data into clear, actionable insight for non-technical audiences.
- Commercial curiosity—naturally connecting operational metrics to business questions and outcomes.
- Experience designing reporting methodology, not just consuming it—able to define what should be measured and why.
At JET, this is how we play. Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.
Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.
Inclusion, Diversity & Belonging: At JET, we're committed to creating an inclusive workplace where everyone belongs. We celebrate diversity and believe different perspectives make us stronger.
Are you ready to join the team? Apply now!
Professional / E - Data, BI & Analytics Generalists & Leadership employer: Just Eat
Just Eat Takeaway.com is an exceptional employer that champions a vibrant and inclusive work culture, where collaboration and innovation thrive. As a Senior Paid Media Manager, you'll have the opportunity to lead impactful media strategies while nurturing talent within a supportive team environment. With a commitment to employee growth and a focus on celebrating successes, working at our UK office means being part of a dynamic global platform that values your contributions and empowers you to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Professional / E - Data, BI & Analytics Generalists & Leadership
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Just Eat.
✨Apply Directly through Our Website
When you find a suitable opening like Professional / E - Data, BI & Analytics Generalists & Leadership at Just Eat, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Professional / E - Data, BI & Analytics Generalists & Leadership
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Just Eat, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Just Eat. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Just Eat
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Just Eat!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.