Data Analyst, Fraud
Job Summary
Job Description
Eneba is seeking a Data Analyst for its Fraud team to analyze fraud-related data, identify suspicious behavior, and support prevention efforts. The role involves analyzing large-scale fraud and transaction data to uncover patterns, developing dashboards and reports for real-time monitoring, and supporting the development of fraud detection models. The analyst will collaborate with fraud operations, engineering, and product teams to implement risk prevention strategies and drive improvements in fraud case triage processes. This position is crucial for shaping the company's fraud strategy and enhancing user trust within their gaming marketplace.
Must have:
- 3+ years of experience in data analysis or fraud analytics
- Strong command of SQL for querying large datasets
- Excellent analytical and problem-solving skills
- Proactive and curious mindset
- Strong communication skills
Good to have:
- Experience with fraud detection tools (e.g., nSure, Sift, Signifyd)
- Python experience for data analysis and basic modeling
- Familiarity with key fraud KPIs, detection metrics, and prevention strategies
Perks:
- Employee Stock Options program
- Opportunity to help scale a unique product
- Various bonus systems (performance-based, referral, additional paid leave, personal learning budget)
- Paid volunteering opportunities
- Work location of choice (office, remote, travel)
- Personal and professional growth
7 skills required
Job Details
About Eneba
At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.
About your team
Behind every groundbreaking product, there’s an awesome team! In Product, we gather folks with diverse backgrounds and expertise in areas such as product development, management, design, UX, analytics, and more. We move fast, experiment, learn a lot, and build new products for our growing base of 10+ million active users. At the same time, we continue to iterate and improve on our flagship product: Digital, a safe and affordable marketplace for gamers. Physical, where we enable users to turn their second-hand items into someone’s first-tier gaming experience. Or Payments & Risk, where we provide a smooth, secure, and reliable purchase experience.
As a Data Analyst in the Fraud team, you’ll take ownership of collecting, analyzing, and interpreting fraud-related data to identify suspicious behavior, support prevention efforts, and inform business decisions. Your work will be vital in shaping our fraud strategy, improving user trust, and contributing directly to Eneba’s mission of creating a safe gaming marketplace.
Responsibilities
- Analyze large-scale fraud and transaction data to uncover patterns, trends, and anomalies.
- Develop dashboards and reports to monitor fraud KPIs and detect unusual behavior in real-time.
- Support the development of fraud detection models and scoring mechanisms using historical and live data.
- Collaborate with fraud operations, engineering, and product teams to implement risk prevention strategies.
- Drive improvements in fraud case triage processes through automation and data-driven insights.
- Conduct deep dives into fraud incidents to understand root causes and inform future risk mitigation tactics.
- Provide ad-hoc reporting and analytical support to stakeholders across product, finance, and customer support.
Requirements
- 3+ years of experience in data analysis or fraud analytics roles, preferably in e-commerce, fintech, or digital goods.
- Strong command of SQL for querying large datasets and building insightful reports.
- Experience working with fraud detection tools or platforms (e.g., nSure, Sift, Signifyd) is a plus.
- Python experience for data analysis and manipulation and basic modeling is a bonus.
- Familiarity with key fraud KPIs, detection metrics, and prevention strategies.
- Excellent analytical and problem-solving skills, with a proactive and curious mindset.
- Strong communication skills — able to translate complex insights into clear, actionable messages.
- Ability to work in a fast-moving environment with evolving priorities and ambiguous challenges.
€34,997 - €48,000 a year
*Salary ranges may vary. We’re seeking candidates with varied experience levels; from individual contributors to functional leaders in this space.
*We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred.
What it’s like to work at Eneba
*Opportunity to join our Employee Stock Options program.
*Opportunity to help scale a unique product.
*Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
*Paid volunteering opportunities.
*Work location of your choice: office, remote, opportunity to work and travel.
*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
*Please attach CV's in English.
*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice
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