At a Glance
- Tasks: Analyse complex datasets to identify and prevent fraud across our platform.
- Company: Join Just Eat Takeaway.com, a leading global online delivery platform.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Why this job: Make a real impact in fraud prevention while mentoring junior analysts.
- Qualifications: Experience in analytics, strong SQL skills, and a passion for problem-solving.
- Other info: Dynamic, fast-paced environment with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are looking for a highly analytical and experienced Senior Data Analyst – Fraud Analytics to join our dynamic team in London. In this critical role, you will be responsible for identifying, mitigating, and preventing fraudulent activity across our platform. You will dive deep into complex datasets to uncover fraud patterns, develop preventative strategies, and protect our business from financial and reputational damage. This is a fantastic opportunity to make a tangible impact, mentor junior team members, and help shape the future of fraud prevention at a global scale.
Responsibilities
- Proactively analyse large, complex datasets using SQL to identify emerging fraud trends and patterns across various domains, including refund abuse, payment fraud, chargebacks, and voucher abuse.
- Design, implement, and monitor the effectiveness of fraud prevention rules and strategies to minimise losses while ensuring a positive customer experience.
- Build and maintain insightful dashboards and reports using Looker and Tableau to track key fraud metrics and communicate performance to the wider business.
- Translate complex analytical findings into clear, concise, and actionable recommendations for non‑technical senior stakeholders, including Product, Operations, and Finance teams.
- Collaborate effectively with cross‑functional teams within an Agile environment, using Jira to manage workloads, prioritise tasks, and run sprints for fraud‑related projects.
- Act as a subject matter expert, providing guidance and support to junior analysts within the team.
Qualifications
- Proven experience in an analytics role, preferably in fintech, e‑commerce, or marketplace (financial services/payment processing experience a plus).
- Deep understanding of common fraud typologies (refund abuse, payment fraud, chargebacks, promo abuse).
- Advanced proficiency in SQL (BigQuery experience a plus) and strong database acumen, including GitHub.
- Advanced data visualisation skills using tools like Looker and Tableau.
- Strong communication ability to translate complex data into clear, compelling narratives for all audiences.
- Comfortable presenting findings to influence senior and non‑technical decision‑makers.
- Agile Mindset: Familiarity with Agile methodologies; practical experience with Jira and working within a sprint environment.
- Sharp analytical mind with a passion for complex problem‑solving and a keen eye for detail.
- Cultural Awareness: Ability to achieve results in diverse, multi‑market/multi‑country environments.
Nice‑to‑Haves
- Experience in specialised fraud roles, working knowledge of fraud detection tools (rules/ML scores), experience with automations (e.g., Google Apps Script), and background in food/grocery e‑commerce.
Senior Data Analyst - Fraud Analytics employer: Just Eat Holding Limited
Contact Detail:
Just Eat Holding Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Fraud Analytics
✨Tip Number 1
Network like a pro! Reach out to current employees at Just Eat Takeaway.com on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving SQL and data visualisation. This will help you demonstrate your expertise in fraud analytics during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common fraud typologies and be ready to discuss how you've tackled similar challenges in the past. This will show you're not just a numbers person but a problem solver too.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Just Eat Takeaway.com.
We think you need these skills to ace Senior Data Analyst - Fraud Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, fraud analytics, and any relevant tools like Looker or Tableau. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fraud analytics and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical prowess. Mention specific projects where you've identified fraud patterns or developed strategies. We’re keen to see how you’ve made a difference in previous roles!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll find all the details you need right there. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Just Eat Holding Limited
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis, especially those related to fraud. Be ready to discuss specific datasets you've worked with, the SQL queries you used, and the insights you uncovered. This will show your analytical prowess and familiarity with the kind of work you'll be doing.
✨Showcase Your Visualisation Skills
Prepare to demonstrate your ability to create insightful dashboards using Looker or Tableau. Bring examples of your previous work that highlight how you've translated complex data into clear visuals. This will help you stand out as someone who can communicate effectively with non-technical stakeholders.
✨Understand Fraud Typologies
Brush up on common fraud types like refund abuse and payment fraud. Be prepared to discuss how you've identified these issues in the past and what strategies you've implemented to mitigate them. This knowledge will position you as a subject matter expert during the interview.
✨Embrace the Agile Mindset
Familiarise yourself with Agile methodologies and be ready to discuss your experience working in sprints and using tools like Jira. Highlight any collaborative projects you've been part of, as this will demonstrate your ability to work effectively within cross-functional teams.