# Insights Analyst, Dispute Experience

**Company:** [Chime](https://hotfix.jobs/companies/chime)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $138k – $190k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, R, Statistics, Causal Inference, Experiment Design, Anomaly Detection, Looker, Mode, A/B Testing
**Posted:** 2026-06-11

> Insights Analyst driving analytics, experimentation, and AI automation improvements for Chime’s Trust & Safety, Fraud, and Dispute Operations teams. Requires 5+ years analytics experience, advanced SQL, Python/R, and strong statistical skills.

## Job Description

## 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 operational interventions.
- Surface statistically robust insights to inform go/no-go decisions and rollout strategies.
- Develop sizing models that quantify the operational, financial, and member impact of proposed policy, workflow, or automation changes, providing clear forecasts that support data-driven rollout decisions.

## Executive Communication & Storytelling
- Create concise, executive-level summaries that distill investigations into clear narratives with quantified impacts and recommended next steps.
- Present Trust & Safety insights to senior leadership across Operations, Risk, Product, and Engineering.

## Cross-Functional Alignment & Leadership
- Work closely with Operations, Risk, Product, and Engineering to ensure shared understanding of problems and alignment on solutions.
- Proactively communicate progress, updates, timelines, and risks across stakeholders.
- Help drive clarity in ambiguous environments, especially during live issues and emerging operational events.

## Technical 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 is a plus.
- Experience with BI tools such as Looker or Mode.

## Domain Expertise
- 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.

## Communication & Leadership
- Outstanding written and verbal communication skills, especially in synthesizing complex topics for executives.
- Proven track record of taking end-to-end ownership of cross-functional initiatives.
- Ability to drive alignment and decision-making across teams.
- Mindset of strong ownership and urgency, proactive communication, and a bias toward action and clarity.

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