JSG (Johnson Service Group, Inc.)

Fraud Data Analyst-NO C2C / SoCal ONLY

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fraud Data Analyst in Southern California, remote for residents within 75 miles of Central Orange County. Contract length is unspecified, with a pay rate of "unknown". Key skills include SQL, SAS, and experience in auto finance or fraud analytics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
June 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Corp-to-Corp (C2C)
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🔒 - Security
Unknown
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📍 - Location detailed
Los Angeles Metropolitan Area
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🧠 - Skills detailed
#EDW (Enterprise Data Warehouse) #BI (Business Intelligence) #SQL Queries #SAS #Redshift #Data Warehouse #Data Integrity #Datasets #Oracle #Databases #SQL (Structured Query Language) #Amazon Redshift #"ETL (Extract #Transform #Load)" #Data Analysis #Programming
Role description
Johnson Service Group (JSG) is seeking a highly analytical Fraud Data Analyst in the Greater Los Angeles, CA Area to support a large-scale dealership audit and fraud investigation initiative. This individual will be responsible for mining, analyzing, and validating large volumes of automotive finance and loan origination data to identify patterns, trends, anomalies, and potential indicators of dealer misrepresentation or fraud. The ideal candidate will have strong SQL and SAS expertise and experience working with large relational databases, preferably Oracle and/or Amazon Redshift environments. This role will partner closely with Dealership Investigators, Audit Teams, Credit Risk, and Business Stakeholders to develop actionable insights and support ongoing investigations. Remote- Must live in California- 75 miles from Central Orange County. Work Schedule- Monday - Friday- 8:00am- 5:00pm Key Responsibilities • Extract and analyze datasets related to auto loans, dealer performance, customer applications, and funding transactions. • Develop complex SQL queries and SAS programs to identify suspicious trends, anomalies, and fraud indicators. • Create datasets and reporting packages used by Dealership Investigators and Audit teams. • Analyze loan origination, funding, credit, and dealer performance data for evidence of misrepresentation, policy violations, or fraud. • Develop dashboards, scorecards, and management reporting to track investigation outcomes and fraud trends. • Perform root cause analysis and identify emerging fraud patterns. • Partner with business leaders to translate data into actionable recommendations. • Validate data integrity and ensure reporting accuracy. • Present findings and recommendations through PowerPoint presentations and executive summaries. • Support ad hoc reporting requests and investigative initiatives. Required Qualifications • Experience in data analytics, fraud analytics, risk analytics, or business intelligence. • SQL skills with experience writing complex joins, subqueries, CTEs, aggregations, and performance optimization. • Strong SAS programming experience. • Experience working with: • Oracle • Amazon Redshift (preferred) • Large enterprise data warehouses • Experience analyzing financial services, lending, banking, auto finance, or consumer credit data. • Advanced Excel and PowerPoint skills. • Strong communication and presentation abilities. • Technical SkillsSQL • SAS • Oracle or Amazon Redshift • Excel • PowerPoint Preferred Qualifications • Auto finance, consumer lending, banking, or financial services experience. • Fraud analytics or risk analytics experience. • Experience with: • Knowledge of dealer operations, credit underwriting, loan servicing, or fraud detection methodologies. JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.