# Sr Manager, Advanced Analytics, FSI

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $212k – $265k/yr
**Experience:** 8+ years
**Skills:** SQL, Python, R, Ml Pipelines, Data Modeling, A/B Testing, Dashboards, Forecasting Models, Kpi Frameworks, Experimentation Design
**Posted:** 2026-05-14

> Leads team building analytics systems for Fraud & Safety operations at Airbnb, defining KPIs, dashboards, experimentation, and forecasting to optimize global enforcement workflows. Requires 8+ years analytics experience, strong SQL/Python, and cross-functional influence.

## Job Description

## Responsibilities

### Operational Analytics
- Define and operationalize KPI frameworks for global Fraud & Safety operations (quality, accuracy, SLA, productivity, cost)
- Build dashboards and reporting systems to monitor enforcement performance across regions, vendors, and workflows
- Lead weekly/monthly business reviews, translating data into actionable insights for Ops, Policy, and leadership

### Experimentation & Continuous Improvement
- Design and lead experimentation (A/B testing, pilots) to improve enforcement quality, reviewer productivity, and user experience
- Identify drivers of errors, escalations, and policy inconsistencies, and translate findings into process improvements
- Partner with Ops and Policy to test and refine enforcement strategies (e.g., thresholds, escalation rules)

### Workforce & Vendor Analytics
- Partner with global operations and vendor teams to optimize staffing, capacity planning, and queue management
- Analyze performance across 3P vendors and internal teams, ensuring SLA adherence and quality standards
- Drive forecasting models to balance cost, coverage, and service levels across high-volume workflows

### Cross-Functional Execution
- Partner with Product and Engineering to translate operational insights into tooling and workflow improvements
- Collaborate with Policy and Legal to ensure enforcement decisions are measurable, auditable, and compliant
- Support high-severity incidents and “war room” analytics, providing real-time insights during escalations

### Scaling Analytics & Decision Systems
- Build self-service analytics tools enabling Ops leaders to monitor performance and run scenario analyses independently
- Standardize metrics, taxonomies, and reporting across workflows to create a consistent “source of truth” for operations
- Drive adoption of data-driven decision-making across global Trust & Safety teams

## Requirements
- 8+ years of experience in analytics, risk, or safety; 5+ years leading high-performing teams
- Proven ownership of large-scale data products or taxonomies in a regulated environment
- Experience supporting large-scale human operations (content moderation, fraud review, support, or risk ops)
- Strong **SQL** & data-modeling expertise; experimentation design, working knowledge of **Python**/**R**, **ML** pipelines
- Proven ability to design KPIs and operational metrics, translate ambiguous problems into structured analytical frameworks, influence cross-functional stakeholders (Ops, Product, Policy, Finance), drive measurable improvements in quality, efficiency, and cost
- Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises
- Track record of enabling legal, policy, ops, product, and engineering teams to make independent, data-driven decisions via self-service
- Exceptional storyteller with a flair for making complex analytics actionable

## Preferred Experience
- Background in Trust & Safety, Integrity, Fraud, or Risk operations
- Familiarity with real-time decision engines, and anomaly-detection frameworks
- Experience leading hybrid teams (onsite/remote) and managing third-party analytics vendors
- Statistics or quantitative graduate degree (**MS**/**PhD**)
- Experience with workforce planning & forecasting, experimentation platforms, real-time operations analytics

## Compensation
**Pay Range**: $212,000—$265,000 USD (base pay). Eligible for bonus, equity, benefits, and Employee Travel Credits.

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