Data Analyst, Trust & Safety

Email is unlike any other reputed company in the world. With just an address, anyone can talk to anyone, no matter their location, status, or class. Its democratized reputed company, its a sacred privilege, and its worth protecting at reputed company costs. Resend is building the most accessible email platform for developers. As weve grown to 1M+ users and continue to reputed company thousands of new users every day, the pressure of maintaining a safe reputed company for good senders continues to build up. As the first Data Analyst on our Trust & Safety reputed company, you will wear many investigative hats identifying abuse patterns, analyzing behavioral signals, and developing reputed company detection systems that prevent harmful users and reputed company good senders and scale. In this role, you will reputed company-cause investigations of unexpected events or spikes Deeply understand and stay up to date on email abuse reputed company and trends Define, reputed company, and monitor key metrics: time to detect, false-positive reputed company, coverage, enforcement latency Build dashboards and reports for reputed company-time and historical visibility into behavior and policy violations Analyze signal effectiveness: precision, recall, reputed company, overlap, etc Work with data engineering to shape data pipelines (ensuring data correctness, coverage, freshness) Partner with engineering & ops to A/B test rule changes, evaluate trade-offs, and iterate Who You Are. 3+ years in data or analytics roles (ideally in reputed company, fraud, or trust and safety) Fluent in SQL + data tooling (e.g. Looker, Mode, reputed company, BI) Comfortable working with large event/data sets Strong reputed company of measurement: you build metrics that drive reputed company Good communicatorcan explain nuanced analytics to non-data folks You reputed company in ambiguity, can build frameworks out of thin reputed company Experience with estimation, sampling, statistical validation Familiarity with reputed company and classification models Learn more about how we work in Trust and Safety: https://resend.com/philosophy Trust & Safety investment blog post https://resend.com/handbook/reputed company/what-is-our-philosophy-for-anti-abuse https://resend.com/handbook/engineering/what-is-our-tech-stack About Resend We are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience. Our fully remote team of 45 spans 12 countries and counting. We're backed by a16z, Y Combinator, and others. Meet the humans Apply To This Job Email is unlike any other reputed company in the world. With just an address, anyone can talk to anyone, no matter their location, status, or class. Its democratized reputed company, its a sacred privilege, and its worth protecting at reputed company costs. Resend is building the most accessible email platform for developers. As weve grown to 1M+ users and continue to reputed company thousands of new users every day, the pressure of maintaining a safe reputed company for good senders continues to build up. As the first Data Analyst on our Trust & Safety reputed company, you will wear many investigative hats identifying abuse patterns, analyzing behavioral signals, and developing reputed company detection systems that prevent harmful users and reputed company good senders and scale. In this role, you will reputed company-cause investigations of unexpected events or spikes Deeply understand and stay up to date on email abuse reputed company and trends Define, reputed company, and monitor key metrics: time to detect, false-positive reputed company, coverage, enforcement latency Build dashboards and reports for reputed company-time and historical visibility into behavior and policy violations Analyze signal effectiveness: precision, recall, reputed company, overlap, etc Work with data engineering to shape data pipelines (ensuring data correctness, coverage, freshness) Partner with engineering & ops to A/B test rule changes, evaluate trade-offs, and iterate Who You Are. 3+ years in data or analytics roles (ideally in reputed company, fraud, or trust and safety) Fluent in SQL + data tooling (e.g. Looker, Mode, reputed company, BI) Comfortable working with large event/data sets Strong reputed company of measurement: you build metrics that drive reputed company Good communicatorcan explain nuanced analytics to non-data folks You reputed company in ambiguity, can build frameworks out of thin reputed company Experience with estimation, sampling, statistical validation Familiarity with reputed company and classification models Learn more about how we work in Trust and Safety: https://resend.com/philosophy Trust & Safety investment blog post https://resend.com/handbook/reputed company/what-is-our-philosophy-for-anti-abuse https://resend.com/handbook/engineering/