Data Analyst (Trust & Safety)

TL;DR

Data Analyst (Trust & Safety): Identifying abuse patterns, analyzing behavioral signals, and developing scalable detection systems to prevent harmful users and protect good senders with an accent on email abuse vectors, metrics monitoring, and signal effectiveness. Focus on root-cause investigations, building dashboards for policy violations, and A/B testing rule changes with engineering and ops.

Location: Fully remote (team spans 12 countries)

Company

Building the modern email sending platform for developers. Fully remote team of 45 spanning 12 countries, backed by a16z and Y Combinator.

What you will do

• Conduct root-cause investigations of unexpected events or spikes in abuse.
• Define, instrument, and monitor key metrics like time to detect, false-positive rate, coverage, and enforcement latency.
• Build dashboards and reports for real-time and historical visibility into behavior and policy violations.
• Analyze signal effectiveness including precision, recall, drift, and overlap.
• Collaborate with data engineering on pipelines for data correctness, coverage, and freshness.
• Partner with engineering and ops to A/B test rule changes and evaluate trade-offs.

Requirements

• 3+ years in data or analytics roles, ideally in security, fraud, or trust and safety.
• Fluent in SQL and data tooling (e.g., Looker, Mode, Metabase, BI).
• Comfortable working with large event/data sets.
• Strong sense of measurement to drive decisions.
• Good communicator able to explain analytics to non-data folks.
• Thrive in ambiguity, build frameworks, experience with estimation, sampling, statistical validation, and familiarity with prediction/classification models.

Culture & Benefits

• Fully remote team across 12 countries.
• Focus on quality, craft, and developer experience.
• Deep investment in Trust & Safety to maintain a safe platform for good senders.