Insights Analyst, Dispute Experience

About the role

As an Insights Analyst supporting Chime’s Trust & Safety Pillar at OMX, you will play a criticalx role in strengthening the integrity of our platform by delivering deep analytical insights across Dispute Operations, Fraud Operations, Product Management, Engineering, and Risk. Your work will directly influence how Chime protects members, drives operational efficiency and resilience, reduces losses, and prevents abuse.

In this highly visible role, you will partner closely with Fraud Ops, Disputes Ops, Risk, Product, and Engineering teams to diagnose emerging risks, quantify operational impacts, and develop recommendations that improve decision accuracy, automation effectiveness, and operational performance.

You will bring strong analytical rigor, exceptional communication skills, and the ability to translate complex data signals into clear, actionable insights for senior leaders. This role requires a strategic thinker who can proactively identify gaps, drive analytical frameworks, and ensure cross-functional alignment in a rapidly evolving Trust & Safety environment.

The base salary offered for this role and level of experience will begin at $138,000.00 and up to $190,000.00 Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Analytics & Root-Cause Identification
  • 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 across Fraud Ops and Dispute Ops.
  • Conduct in-depth workflow and lifecycle analyses—such as examining interaction patterns, segment behaviors, and before/after performance changes—to identify friction points, root causes, and opportunities to improve Trust & Safety processes.
• AI-Enabled Automation & Decisioning
  • Partner with Product, Engineering, Fraud Strategy, and Ops to evaluate and improve AI-enabled workflows, including automated decisioning, classification models, and agent augmentation tools.
  • Analyze model outputs, false positives/negatives, and decision accuracy to recommend enhancements.
  • Measure operational and member impact of automation changes and support the design of new AI features (e.g., routing logic, contact summarization, anomaly detection).
• Experimentation & Evaluation
  • Design and evaluate A/B tests, policy changes, rule deployments, workflow adjustments, and