Summary

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 an Online 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.

This position is based in Singapore.

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. Apple provides reasonable accommodations to applicants with disabilities and in accordance with local requirements. Apple is a drug-free workplace.

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Online Technical Fraud Analyst Manager

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