Data Analyst, Fraud

Summary

Join Eneba, a rapidly growing marketplace for gamers, as a Data Analyst in the Fraud team. You will analyze fraud-related data to identify suspicious behavior, support prevention efforts, and inform business decisions. Your work will be crucial in shaping fraud strategy, improving user trust, and contributing to Eneba's mission of creating a safe gaming marketplace. You will collaborate with various teams to implement risk prevention strategies and improve fraud case triage processes. The role requires strong analytical and communication skills, along with experience in data analysis and fraud analytics. Eneba offers various benefits, including employee stock options, bonus systems, paid volunteering opportunities, flexible work location options, and personal and professional growth opportunities.

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
• 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

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

Preferred Qualifications

• 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

Benefits

• Opportunity to join our Employee Stock Options program
• 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