About the role
- 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
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata analysisA/B testingstatistical validationmetrics developmentdata pipeline shapingsignal effectiveness analysisdashboard buildingreport generationevent/data set analysis
Soft skills
communicationproblem-solvingadaptabilitymeasurement-driven decision makingcollaborationanalytical thinkingcreativityambiguity managementframework buildinginterpersonal skills