What are the responsibilities and job description for the Data Analyst III - Fraud position at Fanatics?
Overview
JOB DESCRIPTION
As a Senior Fraud Data Analyst III at Fanatics Betting & Gaming, you will be a core driver of our fraud analytics and data infrastructure. This role is highly hands-on and execution-focused, with a mandate to fully automate and scale fraud reporting and analysis currently operating in Google Sheets into a robust, production-grade data pipeline.
You will sit at the intersection of Fraud & Risk, Data Engineering, and Analytics, owning fraud datasets end-to-end—from raw ingestion and modeling through insight generation and decision support. This is a senior, high-impact role for someone who can work independently, identify gaps, and drive initiatives to completion without heavy oversight.
The ideal candidate is a SQL and dbt expert, deeply fluent in modern analytics engineering practices, and brings strong domain expertise in fraud detection, prevention, and investigation within regulated, high-volume environments.
Key Responsibilities
Fraud Data Pipeline Ownership & Automation
JOB DESCRIPTION
As a Senior Fraud Data Analyst III at Fanatics Betting & Gaming, you will be a core driver of our fraud analytics and data infrastructure. This role is highly hands-on and execution-focused, with a mandate to fully automate and scale fraud reporting and analysis currently operating in Google Sheets into a robust, production-grade data pipeline.
You will sit at the intersection of Fraud & Risk, Data Engineering, and Analytics, owning fraud datasets end-to-end—from raw ingestion and modeling through insight generation and decision support. This is a senior, high-impact role for someone who can work independently, identify gaps, and drive initiatives to completion without heavy oversight.
The ideal candidate is a SQL and dbt expert, deeply fluent in modern analytics engineering practices, and brings strong domain expertise in fraud detection, prevention, and investigation within regulated, high-volume environments.
Key Responsibilities
Fraud Data Pipeline Ownership & Automation
- 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
- 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.
- Translate fraud questions and operational needs into clear analytical outputs and recommendations.
- Provide actionable insights to fraud leadership to inform:
- Risk rules and thresholds
- Tooling and vendor evaluations
- Process improvements and operational tradeoffs
- 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.
- Familiarity with:
- Chargeback workflows and card networks
- KYC/AML processes
- Fraud tooling or risk engines
- Experience with BI tools such as Tableau, Sigma, or similar.
- Fraud reporting and analysis are fully automated, reliable, and no longer dependent on manual spreadsheets.
- Fraud stakeholders trust and rely on your models and dashboards for day-to-day decision-making.
- You proactively identify fraud risks and data gaps before they become incidents.
- You operate as a thought partner to Fraud leadership, not just a reporting function.
- Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: $116,000 to $145,000 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus full-time employees are eligible for Medical, Dental, Vision, 401K, paid time off, and other benefits like Wellhub, Pet Insurance, Family Care Benefits, Free Shipt deliveries, and more. For information about our benefits, please visit https://benefitsatfanatics.com/
Salary : $116,000 - $145,000