Product Analyst

Product Analyst

Full-Time 50000 - 60000 £ / year (est.) No home office possible
Duffel

At a Glance

  • Tasks: Spot fraud patterns and build systems to protect travellers and businesses.
  • Company: Join a Y Combinator-backed tech company revolutionising travel payments.
  • Benefits: Competitive salary, equity, remote work, and generous parental leave.
  • Other info: Dynamic team culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact in the travel industry by combating fraud.
  • Qualifications: Experience in data analytics and proficiency in SQL or similar.

The predicted salary is between 50000 - 60000 £ per year.

Create the Future of Travel With Us

Whether it's visiting the people closest to us, starting an exciting adventure, or a career defining business trip, travel is essential. Yet we've all experienced the aches and pains of getting to our destination. More than 4 billion travellers rely on technology that hasn't kept up with modern expectations. That's why we're rebuilding the infrastructure that underpins the travel industry simplifying systems and building tools that will make the future of travel effortless. Central to this mission is ensuring seamless, secure and reliable payment experiences, which are crucial for every transaction and a cornerstone of trust in our platform.

Our London team is growing, and we're looking for an experienced Product Analyst to join us on our journey.

The Role

We're looking for a curious and driven Product Analyst to join our team. You'll spot patterns, write detection rules, and build systems that stop fraud in its tracks playing a vital role in protecting travellers, businesses, and the integrity of our platform. You'll work on complex, often ambiguous challenges in the ever-evolving world of travel payments and bookings. If you love solving problems, diving into data, and making a real difference, this is your chance.

What You'll Do:

  • Identify fraud trends and develop a deep understanding of fraudulent behaviour on our platform through SQL, Google BigQuery, and Google Looker.
  • Formulate rules based on your analysis to mitigate fraudulent behaviour across our platform.
  • Carry out investigations of escalated cases related to potential misuse of our platform and assist with legal and customer enquiries as well as turning learnings into product enhancements.
  • Partner with our engineering teams to advance our technological approaches to identifying fraudulent activity and bring fraud detection to the heart of the product.
  • Work closely with engineering to enhance internal tools and databases that enable us to combat fraud and scale effectively.
  • Act as a key resource for other departments by providing analysis of customer and booking behaviour on the platform.
  • Present and communicate the results of analyses and investigations to stakeholders across the company.

You’ll Thrive Here If:

  • You have experience in data analytics or a similar analytical role (through formal education or practical experience).
  • You're comfortable working with and interpreting large datasets.
  • You have a knack for answering difficult questions using data and translating complex findings into clear, actionable reports.
  • You're proficient in writing queries and preparing reports using SQL or similar.
  • You're motivated by self-learning and growing your skills when faced with new challenges.
  • You can manage multiple priorities effectively with a proactive, forward-thinking mindset.
  • Bonus: Prior knowledge of formulating rules to combat fraudulent behaviour or experience in travel/payments.

What You’ll Get:

  • Competitive salary + equity (you'll own part of Duffel).
  • Work from anywhere policy.
  • Duffel travel allowance (use what we build).
  • Generous parental leave.
  • Sabbatical programme.
  • Office in Shoreditch + regular team socials.

Why Now Matters

As we scale to millions of bookings, fraud prevention becomes critical. You'll build the systems and rules that protect our platform from day one of this function, defining how we approach trust and security as we grow.

We're an equal opportunities employer. We believe that the key to our success is employing a diverse team, which is why recruitment decisions are only based on your experience and skills. We welcome applications from everyone, regardless of age, sex, disability, sexual orientation, race, religion, or belief.

Note to recruitment agencies: Duffel does not accept speculative CVs from external parties. Any unsolicited CVs sent to us will be treated as property of Duffel, and any attached terms and conditions associated with these CVs will be null and void.

Product Analyst employer: Duffel

At Duffel, we are committed to creating a dynamic and inclusive work environment where innovation thrives. As a Product Analyst in our London office, you'll enjoy a competitive salary, equity options, and a flexible work-from-anywhere policy, all while contributing to the future of travel technology. Our culture fosters continuous learning and collaboration, ensuring that you have ample opportunities for professional growth and development as we tackle the challenges of fraud prevention together.
Duffel

Contact Detail:

Duffel Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Product Analyst

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for those interviews by practising common questions and scenarios related to fraud analysis. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your skills and experiences.

✨Tip Number 3

Showcase your analytical skills by bringing examples of your work to interviews. Whether it’s a project where you identified fraud trends or a report you created, having tangible evidence of your abilities can really impress hiring managers.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission to revolutionise travel.

We think you need these skills to ace Product Analyst

Data Analytics
SQL
Google BigQuery
Google Looker
Fraud Detection
Pattern Recognition
Report Preparation
Problem-Solving Skills
Communication Skills
Collaboration with Engineering Teams
Customer Behaviour Analysis
Proactive Mindset
Adaptability
Self-Learning

Some tips for your application 🫡

Show Your Curiosity: As a Product Analyst, curiosity is key! Make sure your application reflects your eagerness to dive into data and solve complex problems. Share examples of how you've tackled challenges in the past.

Highlight Your Data Skills: We love seeing candidates who are comfortable with SQL and large datasets. Be sure to mention any relevant experience you have with data analytics tools like Google BigQuery or Looker in your application.

Tailor Your Application: Don’t just send a generic CV! Tailor your application to highlight your experience with fraud detection and analytical roles. Show us how your skills align with our mission to combat fraud in travel.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you on board for this exciting journey in reshaping the future of travel!

How to prepare for a job interview at Duffel

✨Know Your Data Tools

Familiarise yourself with SQL, Google BigQuery, and Google Looker before the interview. Be ready to discuss how you've used these tools in past roles to analyse data and identify trends, especially in relation to fraud detection.

✨Understand Fraud Patterns

Research common fraud patterns in the travel industry. Prepare examples of how you’ve previously identified and mitigated fraudulent behaviour, as this will show your proactive approach and analytical mindset.

✨Communicate Clearly

Practice explaining complex data findings in simple terms. You might be asked to present your analysis to stakeholders, so being able to communicate effectively is key. Think about how you can turn technical jargon into actionable insights.

✨Show Your Curiosity

Demonstrate your passion for problem-solving and self-learning. Share instances where you took the initiative to learn new skills or tackle ambiguous challenges, as this aligns perfectly with the role's requirements.

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