Responsibilities

• Analyze user behavior related to trust and safety incidents, including reports, blocks, fraud, and abuse;
• Identify weak points in the safety funnel and support development of prevention, detection, and resolution mechanisms;
• Evaluate the impact of product and policy changes on user safety and platform integrity;
• Design and analyze A/B tests for safety features, verification flows, and enforcement mechanisms;
• Collaborate with product, legal, operations, and risk teams to align data insights with compliance and safety goals;
• Build dashboards and monitoring tools to track key safety metrics across user journeys;
• Investigate spikes in incidents or false positives and recommend corrective actions;
• Document metric definitions, safety experiments, and analytical approaches in the knowledge base.

Qualifications

• 3 years’ experience in product analytics, risk analytics, or a similar domain;
• Strong SQL skills and experience working with large and sensitive datasets;
• Proficiency in Python or R for data analysis, modeling, and automation;
• Understanding of safety-related product flows such as verification, moderation, and abuse prevention;
• Experience with A/B testing and evaluation of complex multistep funnels;
• Ability to communicate findings to cross-functional teams, including legal and risk;
• Familiarity with BI tools such as Tableau, Redash, or similar platforms;
• Structured thinking and a strong problem-solving mindset.

Conditions & Benefits

• Stable salary, official employment;
• Health insurance;
• Hybrid work mode and flexile schedule;
• Relocation package offered for candidates from other regions;
• Access to professional counseling services including psychological, financial, and legal support;
• Discount club membership;
• Diverse internal training programs;
• Partially or fully payed additional training courses;
• All necessary work equipment.