Public summary
We are seeking a Data Analyst, Trust & Safety for a technology company in Germany, focused on maintaining platform trust, security, and integrity. The role involves analyzing large datasets to detect harmful behavior, building detection frameworks, monitoring safety metrics, and collaborating with engineering and operations teams. Candidates should have 3+ years in data analytics or related fields, strong SQL and BI tool skills, and experience in behavioral analysis and operational intelligence. The position offers fully remote work, a collaborative environment, and opportunities for career growth in a high-scale platform setting.
Responsibilities
Conduct root-cause investigations into suspicious activities and behavioral anomalies; analyze abuse patterns and emerging risks; define and optimize key operational and enforcement metrics; build dashboards and reports for real-time and historical monitoring; evaluate detection models and signals; collaborate with data engineering to improve data pipelines; partner with stakeholders to test and iterate policy changes; support scalable decision-making frameworks to enhance platform safety while minimizing user friction.
Qualifications
Minimum 3 years experience in data analytics, trust & safety, fraud prevention, or security-related roles; strong proficiency in SQL; experience with BI and analytics tools like Looker, Mode, or Metabase; familiarity with handling large event datasets; knowledge of metric development, experimentation, and data-driven decision making; understanding of statistical concepts and model evaluation; excellent communication skills for technical and non-technical audiences; strong problem-solving abilities; interest in online safety and abuse prevention; ability to work collaboratively in remote, cross-functional teams.