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Data Analyst, Trust & Safety

Resend - Americas / Remote / Full-time | Remote | Europe / Remote / Full-time

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Data Analyst, Trust & Safety Americas / Remote / Full-time | Remote | Europe / Remote / Full-time 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 2M+ 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. IN THIS ROLE, YOU WILL… - 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 WHO YOU ARE... - 3+ years in data or analytics roles (ideally in security, fraud, or trust and safety) -

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