Insights Analyst Dispute Experience
Required skills
Bachelor’s degree in a quantitative field (Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering). 5+ years in analytics, ideally in Trust & Safety, Fraud, Risk, or Support Operations. Advanced SQL skills (complex joins, window functions, CTEs). Proficiency in Python or R for experimentation, modeling, and data analysis. Strong understanding of statistics, causal inference, experiment design, and anomaly detection. Experience analyzing automation systems, risk models, or ML-driven workflows. Experience with BI tools such as Looker or Mode.
Preferred skills
Experience in fintech, digital banking, payments, fraud, or Trust & Safety environments. Experience evaluating or supporting AI/ML systems, including monitoring false positives/negatives and model performance. Ability to break down ambiguous issues into structured analytical frameworks. Strong understanding of how product, operations, and engineering intersect in Trust & Safety domains.
Technologies
SQL, Python, R, BI tools such as Looker or Mode.
Responsibilities
Analytics & Root-Cause Identification, AI-Enabled Automation & Decisioning, Experimentation & Evaluation, Executive Communication & Storytelling, Cross-Functional Alignment & Leadership.
Seniority
Not specified.
Domain
Trust & Safety, Fraud, Risk, Support Operations, Fintech, Digital Banking, Payments.
