Data Analyst, Trust & Safety

📋 Description

• Conduct investigations to identify the root causes of unexpected incidents or fluctuations.

• Maintain a comprehensive understanding of current email abuse vectors and trends.

• Establish, implement, and oversee essential metrics such as detection time, false-positive rates, coverage, and enforcement latency.

• Create dashboards and reports to provide real-time and historical insights into behavioral patterns and policy breaches.

• Evaluate the effectiveness of signals through analysis of precision, recall, drift, overlap, and other relevant factors.

• Collaborate with data engineering teams to design data pipelines, ensuring data accuracy, completeness, and timeliness.

• Work alongside engineering and operations teams to perform A/B testing on rule modifications, assess trade-offs, and refine processes.

⛳️ Requirements

• Minimum of 3 years of experience in data or analytics positions, preferably within security, fraud, or trust and safety domains.

• Proficient in SQL and data tools such as Looker, Mode, Metabase, and Business Intelligence applications.

• Comfortable handling large datasets and event streams.

• Strong measurement skills, with the ability to create metrics that inform decision-making.

• Excellent communication skills, capable of conveying complex analytical concepts to non-technical stakeholders.

• Ability to thrive in uncertain situations, creating frameworks and processes from the ground up.

• Experience with estimation, sampling techniques, and statistical validation methods.

• Knowledge of predictive and classification modeling techniques.

🏝️ Benefits

• Competitive salary.

• Fully remote team environment.

• Opportunities for professional development.