This role is part of the People Analytics team at Apple, focusing on building and running analytics products that support HR decision-making. The position involves end-to-end development, including data modeling in Snowflake, creating Python web services, and automating deployment across Linux infrastructure. The individual will leverage agentic AI coding tools to enhance productivity while ensuring sound architecture and data security. The role demands a high level of autonomy and the ability to communicate effectively with senior business leaders.

• Bachelor's degree in Computer Science, Information Management Systems, Data Science, Software Engineering, or a related field.
• 7+ years of experience developing and maintaining analytics products, reports, and dashboards.
• Deep SQL and Snowflake experience, including designing schemas and building ETL pipelines.
• Python experience in backend web services, APIs, and data-processing automation.
• Hands-on Linux experience operating servers unaided.
• Container experience covering image build and deployment.
• Experience with agentic AI coding tools such as Claude Code.
• Experience working with employee data or other sensitive personal data.
• Proven autonomy in delivering projects end to end with minimal direction.
• Experience delivering to competing deadlines and shifting priorities.
• Flexibility to work across time zones.
• Experience agreeing metric definitions with business partners.
• Experience delivering on a shared data platform.
• Experience working directly with senior business leaders.
• Familiarity with Python web frameworks such as Flask or FastAPI.
• Experience with Python data processing libraries such as NumPy and pandas.

• Model data in Snowflake and develop Python web services and APIs.
• Build dashboards that surface actionable insights for HR teams.
• Automate deployment processes across Linux infrastructure.
• Utilize agentic AI coding tools to enhance coding efficiency.
• Ensure sound architecture and data security in all deliverables.
• Confirm data and system behavior by measuring against live systems.
• Own delivery of analytics products end to end with minimal direction.
• Communicate effectively with senior business leaders to gather requirements.
• Present data findings clearly to non-technical partners.
• Manage competing deadlines and shifting priorities without loss of data accuracy.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.