Data Analyst

Jobgether SRL; United States; Remote; USD 59,000 - 92,000; Full time

Benefits offered by this job

Remote work within Europe

Cross-market collaboration

Exposure to fraud prevention tech

Job summary

Jobgether SRL, listed on behalf of a partner company, seeks a Data Analyst to own fraud analytics within a growing user segmentation system. You will analyze behavioral and fraud signals to distinguish legitimate users from suspicious activity and support product decisions and verification strategies.

You will collaborate with product, data, and analytics teams to implement practical fraud controls and refine detection signals as patterns evolve across markets.

Qualifications

• Hands-on experience using data to investigate fraud.
• Experience designing/refining fraud signals or segmentation.
• Strong analytical skills for complex behavior.
• Understanding evolving fraud tactics.
• Collaborate with product, data and cross-functional teams to translate analysis into actions.
• Clear communication to technical and non-technical stakeholders.
• Professional working proficiency in English.

Responsibilities

• Review and continuously refine fraud signals to distinguish legitimate users.
• Analyze signals like IP spoofing, VPN usage, unusual patterns for fraud.
• Own fraud-related components of the user segmentation system and monitor performance.
• Partner with product and data teams on verification approaches for different markets.
• Investigate users flagged for manual review and improve review efficiency.
• Identify gaps in signals and assess third-party tools for fraud.

Skills

Fraud analytics

Data analysis

Signal design

Cross-functional collaboration

English proficiency

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst based in Netherlands.

This role offers the opportunity to take ownership of the fraud analytics side of a growing user segmentation system. You’ll analyze behavioral and fraud-related signals to distinguish legitimate users from suspicious activity. Your work will directly support product decisions, revenue-sharing models, and user verification strategies. You’ll collaborate closely with product, data, and analytics colleagues to turn insights into practical fraud controls. Because fraud patterns continuously evolve, you’ll regularly refine detection signals and monitor how effectively segments perform over time. You’ll also investigate ambiguous cases and identify opportunities to improve review processes and fraud prevention tools. The role is part of a fast-moving, international environment where analytical thinking and cross-functional collaboration have a direct impact.

Accountabilities

• Review and continuously refine fraud signals, adding, removing, and adjusting indicators to distinguish suspicious activity from legitimate users.
• Analyze signals such as IP spoofing, VPN usage, unusual gameplay patterns, and other behavioral indicators to identify potential fraudulent activity.
• Own the fraud-related components of the user segmentation system, including defining how signals should be interpreted and monitoring segment performance over time.
• Partner with product and data teams to determine appropriate verification approaches for different markets, including facial verification, ID scanning, phone verification, and other methods.
• Investigate users flagged for manual review, including ambiguous cases, and identify opportunities to make the review process more efficient and effective.
• Identify gaps in available fraud signals and assess third‑party tools or solutions that could strengthen the product roadmap.
• Translate analytical findings into practical recommendations and operational fraud controls.

Requirements

• Hands‑on experience using data to investigate fraud and influence fraud detection or prevention decisions.
• Experience designing, refining, or evaluating fraud signals, user segmentation frameworks, detection rules, or review processes.
• Strong analytical skills and the ability to investigate complex or ambiguous user behavior using data.
• Understanding of how fraud tactics evolve and an interest in continuously adapting detection approaches accordingly.
• Ability to collaborate effectively with product, data, and other cross‑functional teams to turn analysis into actionable solutions.
• Strong problem‑solving and critical‑thinking skills, with a structured and detail‑oriented approach to investigations.
• Ability to communicate analytical findings and recommendations clearly to both technical and non‑technical stakeholders.
• Professional working proficiency in English, with the ability to participate in meetings, work with documentation, and communicate clearly in a fast‑paced international environment.

Benefits

• Remote working opportunity within Europe, with Warsaw preferred for collaboration with team members based there.
• Opportunity to take ownership of an important fraud analytics function within a growing product area.
• Direct exposure to product strategy, user segmentation, fraud prevention, and verification technologies.
• Collaboration with experienced product, data, and analytics professionals in an international environment.
• Opportunity to influence fraud detection processes and contribute to decisions across multiple markets.
• Exposure to evolving fraud patterns, analytical challenges, and emerging verification solutions.
• A role where data‑driven insights have a direct impact on product and business decisions.