Fraud Data Analyst, Strategic Data Solutions

Apple Inc.; Austin (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Apple Inc. is seeking an experienced Technical Fraud Analyst for the Strategic Data Solutions team in Austin, Texas.

The role focuses on combatting fraud, waste and abuse through collaboration with data scientists and business stakeholders, leveraging analytics to identify and mitigate fraud across physical and digital goods. The analyst will track metrics, identify fraud patterns, and communicate actionable recommendations to leadership while supporting the design of analytic solutions and new

Qualifications

• BS/BA or equivalent experience in relevant field.
• SQL proficiency to query large datasets to identify anomalies, patterns, and fraudulent behavior.
• Proven excellence in investigating adversarial trends, identifying behavior patterns, and responding with the appropriate actions.

Responsibilities

• Track operational and business metrics to align with business goals and strategies
• Perform analyses to identify fraud patterns
• Communicate findings among team and leadership as well as providing recommendations and priority among open tasks
• Decision orders in mass or individually as demanded by current business needs
• Support discovery of new business problems and contribute to design of analytic solutions
• Ideate and recommend new and innovative ideas to support fraud mitigation improvements

Skills

SQL proficiency

Fraud pattern analysis

Storytelling with data

Cross-functional collaboration

Ambiguity tolerance

Creative problem solving

Education

BS/BA or equivalent experience

Tools

Python

Job description

Apple Inc. is seeking an experienced Technical Fraud Analyst for the Strategic Data Solutions team in Austin, Texas.

The role focuses on combatting fraud, waste and abuse through collaboration with data scientists and business stakeholders, leveraging analytics to identify and mitigate fraud across physical and digital goods. The analyst will track metrics, identify fraud patterns, and communicate actionable recommendations to leadership while supporting the design of analytic solutions and new