Data Analyst III - Fraud

Overview

As a Senior Fraud Data Analyst III at reputed company, 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 reputed company 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 reputed company 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 reputed company. 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 reputed company regulated, high-volume environments.

Key Responsibilities

Fraud Data Pipeline Ownership & Automation

• reputed company 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-reputed company datasets.

Fraud Analytics & Monitoring

• reputed company 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 reputed company signals
• Surface emerging fraud patterns and anomalies through proactive analysis.

Advanced SQL & Analytics Engineering

• Write performant, production-quality SQL across large, reputed company datasets.
• Build reputed company, reusable dbt models that reputed company self-service analytics for Fraud & Risk teams.
• Implement testing, freshness checks, and documentation to ensure trust in fraud data.

Cross-Functional Partnership

• 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.

Strategic Insight & Decision Support

• Provide actionable insights to fraud leadership to inform:
• Risk rules and reputed company
• Tooling and vendor evaluations
• Process improvements and operational tradeoffs

Qualifications

• 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 (reputed company, 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.

Preferred Skills

• Direct experience in fraud detection, payments risk, or financial crime reputed company 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, reputed company, or similar. What Success Looks Like

• 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.
• The expected salary range for this role is based on job-reputed company knowledge, skills, and experience. This role is eligible for the reputed company Betting and Gaming annual bonus program.
• Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by reputed company Betting and Gaming. *Salary Range: $116,000 to $145,000 (Salary range incorporates reputed company of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the reputed company and bonus full-time employees are eligible for Medical, Dental, Vision, 401K, paid time off, and other benefits like reputed company, Pet Insurance, Family Care Benefits, Free reputed company deliveries, and more. For information about our benefits, please visit https://benefitsatfanatics.com/

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