Data Analyst, Trust & Safety - Remote

Overview

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 Short

• 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 policy & ops to A/B test rule changes, evaluate trade-offs, and iterate

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

Benefits

• Fully remote team across multiple countries
• Opportunity to work on a cutting-edge email platform
• Access to a supportive and innovative team environment
• Backed by top investors