Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world's biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified's AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more .

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.

About the Role Join our global analytics team at Riskified! As a Data Analyst, you'll work directly with enterprise customers and be responsible for Riskified's customers' performance and online fraud prevention in real-time. You will own a major part in researching and investigating new online-fraud trends and stand at the forefront of Riskified's work. You'll leverage your analytical skills and knowledge of our product to provide meaningful insights to our merchants.

What You'll Be Doing

Research and explore data, using high level analytical tools (R and SQL) in a high level technical environment

Effectively communicate analytical insights and complex technical methodologies to both technical and non-technical audiences

Collaborate with various teams within Riskified to optimize processes and meet customers' needs

Engage with account managers, directly interface with clients, and deliver analytical insights to business questions

Define and execute end-to-end technical solutions for fraud-prevention challenges

Master the online fraud prevention domain through hands‐on analysis of live data

Qualifications

2-3+ years of relevant strong analytical experience with complex data

2+ years of hands‐on work experience with SQL (must be proficient)

Proven expertise in analysis tools such as R and Python

Experienced problem‐solver with critical thinking skills

Ability to work simultaneously on different tasks and lead multiple projects

Full working proficiency (both written and verbal) in English

Effective presentation skills, with a track record of client‐facing experience

Advantage - experience in fraud, payments, or ecommerce domains

We include transparent salary ranges to support fairness, clarity, and informed decision‐making early in the process. The base salary range for this position is €37,000 - €42,000 gross annually for candidates based in Lisbon. Your actual salary will be determined based on your unique skills, experience, and competencies. If your expectations differ, please let us know - we're always open to a conversation.

The base salary is one part of the total compensation package at Riskified. All full‐time regular employees receive a bonus target and are eligible to receive stock‐based awards. Also, our value proposition goes way beyond compensation: our perks and benefits package, culture, community, and learning and development programs are just some of the elements we provide to bring value to our employees.

Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.

We're looking for bright, driven, and passionate people to grow with us.

Some of our Lisbon Benefits & Perks:

Hybrid mode of work

Benefits package per month—per your choice, e.g., work‐from‐home equipment, gym membership, wellbeing activities, and more.

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

Data Analyst Customer Org Lisbon

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