Insights Analyst, Dispute Experience

Remote, USAFull-TimeMiddle

Salary138,000 - 190,000 USD per year

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Job Details

Experience: 5+ years in analytics, ideally in Trust & Safety, Fraud, Risk, or Support Operations.
Required Skills: PythonSQLMachine LearningData scienceRisk ManagementLookerR

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.
Experience in fintech, digital banking, payments, fraud, or Trust & Safety environments.
Outstanding written and verbal communication skills.
Proven track record of taking end-to-end ownership of cross-functional initiatives.

Translate complex data signals into root-cause narratives and actionable operational or product recommendations.
Define success metrics, KPIs, monitoring frameworks, and develop predictive analytics mechanisms for Disputes and Fraud Ops.
Build enhanced metric and KPI frameworks that help identify emerging trends, performance shifts, and anomalies.
Conduct in-depth workflow and lifecycle analyses to identify friction points and root causes.
Partner with Product, Engineering, Fraud Strategy, and Ops to evaluate and improve AI-enabled workflows.
Analyze model outputs, false positives/negatives, and decision accuracy to recommend enhancements.
Design and evaluate A/B tests, policy changes, and operational interventions.
Create concise, executive-level summaries and present insights to senior leadership.

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