Job Details

Retail Technical Fraud Analyst Manager - Strategic Data Solutions

Austin, Texas, United States

Operations and Supply Chain

Summary

Posted: Aug 02, 2025

Weekly Hours: 5

Role Number: 200614174-0157

The Strategic Data Solutions team is seeking an experienced and results-oriented Analytics Manager to lead a team focused on combating fraud, waste, and abuse in our fast-paced stores/e-commerce environment. This role will be responsible for guiding a team of Technical Fraud Analysts in developing and implementing analytical/tactical solutions to detect, prevent, and mitigate fraudulent activities.

As a Retail TFA Manager, you will be responsible for fostering a culture of data-driven decision-making, develop career paths and skills within the team, developing strong relationships across the organization, and driving continuous improvement in our fraud prevention strategies. You navigate ambiguity and uncertainty comfortably, making decisions based on information that may be incomplete at times, and demonstrating an uncanny sense of when to hold course vs shift directions for the team.

In this role, you'll combine technical/analytical knowledge with fraud mitigation skills within the fulfillment business to help the team approach fraud mitigation in a new and exciting way that enables us to scale with success.

Description

• Help technically lead the team’s development of new production SQL queries and Python jobs along with general analytics
• Collaborate with and support the team to innovate, encouraging experimentation and growth
• Mentor the team to develop their technical skillset considering both the individual’s wants and program needs
• Drive personal innovation projects to improve the team’s and/or program’s efficiency
• Oversee TFA tactical execution on a daily basis
• Drive prioritization between execution and innovation, ensuring metrics are in line with program targets
• Project Manage team initiatives as needed
• Engage with internal and external functional partners to gain perspective and solution on combined challenges

Minimum Qualifications

• Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, a related field, or relevant experience

• 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles

• 2+ years of experience leading and mentoring data-focused teams

• Proficiency in SQL and at least one programming language (e.g., Python, R)

• Strong background in experimentation design, causal inference, and statistical analysis

• Experience working with large-scale data pipelines and production-level analytics systems

• Proven ability to drive measurable business impact through data and automation

Preferred Qualifications

• Experience with building robust monitoring systems to track data and production system health in production

• Expertise in data storytelling and creating stakeholder-ready visualizations and narratives

• Ability to perform in both strategic and tactical situations, and shift between them as defined by the needs of the role

• Ability to connect insights to business outcomes and influence strategy

• Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML ops tooling

• Passion for fostering inclusive team environments and valuing diverse perspectives

• Clear communicator who can translate complex technical concepts into actionable business language

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.