Data Analyst, Trust & Safety
About The Position
Email is unlike any other medium in the world. With just an address, anyone can talk to anyone, no matter their location, status, or class. It’s democratized access, it’s a sacred privilege, and it’s worth protecting at all costs. Resend is building the most accessible email platform for developers. As we’ve grown to 1M+ users and continue to onboard thousands of new users every day, the pressure of maintaining a safe place for good senders continues to build up. As the first Data Analyst on our Trust & Safety squad, you will wear many investigative hats— identifying abuse patterns, analyzing behavioral signals, and developing scalable detection systems that prevent harmful users and enable good senders and scale.
Requirements
- 3+ years in data or analytics roles (ideally in security, fraud, or trust and safety)
- Fluent in SQL + data tooling (e.g. Looker, Mode, Metabase, BI)
- Comfortable working with large event/data sets
- Strong sense of measurement: you build metrics that drive decisions
- Good communicator—can explain nuanced analytics to non-data folks
- You thrive in ambiguity, can build frameworks out of thin air
- Experience with estimation, sampling, statistical validation
- Familiarity with prediction and classification models
Responsibilities
- Root-cause investigations of unexpected events or spikes
- Deeply understand and stay up to date on email abuse vectors and trends
- Define, instrument, and monitor key metrics: time to detect, false-positive rate, coverage, enforcement latency
- Build dashboards and reports for real-time and historical visibility into behavior and policy violations
- Analyze signal effectiveness: precision, recall, drift, 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
