Data Analyst III – Fraud
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Job Description
Senior Fraud Data Analyst III driving fraud analytics and automating data pipelines for Fanatics Betting & Gaming. Collaborating with cross-functional teams to enhance fraud detection and prevention efforts.
Responsibilities:
- Lead the migration of fraud reporting and workflows into a fully automated, scalable data pipeline.
- Design, build, and maintain analytics-ready data models using dbt that support fraud monitoring, investigation, and strategy.
- Partner with Data Engineering to ensure reliable ingestion, data quality, and documentation of fraud-related datasets.
- Develop and maintain dashboards and reporting that track key fraud metrics such as fraud rates and loss, chargebacks and disputes, bonus abuse, promo abuse, and multi-accounting, and KYC and account integrity signals.
- Surface emerging fraud patterns and anomalies through proactive analysis.
- Write performant, production-quality SQL across large, complex datasets.
- Build modular, reusable dbt models that enable self-service analytics for Fraud & Risk teams.
- Implement testing, freshness checks, and documentation to ensure trust in fraud data.
- Work closely with Fraud & Risk, Payments, Customer Support, Product, and Engineering to align on definitions, metrics, and investigative workflows.
- Provide actionable insights to fraud leadership to inform risk rules and thresholds, tooling and vendor evaluations, process improvements and operational tradeoffs.
Requirements:
- 5+ years of experience in analytics, data analysis, or analytics engineering, with significant focus on fraud, risk, or payments.
- Expert-level SQL skills with experience working in cloud data warehouses (Snowflake, BigQuery, Redshift).
- Strong experience with dbt and modern analytics engineering best practices.
- Proven ability to take ambiguous, manual processes and turn them into clean, automated, scalable solutions.
- Experience working independently and owning projects end-to-end.
- Strong analytical judgment and ability to communicate findings clearly to both technical and non-technical stakeholders.
- Direct experience in fraud detection, payments risk, or financial crime within sports betting, gaming, fintech, or ecommerce.
Benefits:
- Medical, Dental, Vision, 401K
- Paid time off
- Wellhub
- Pet Insurance
- Family Care Benefits
- Free Shipt deliveries
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