JobsAnalytics Engineer-Apple Services Engineering
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Analytics Engineer-Apple Services Engineering

Apple

Location

Seattle, WA

Type

Full-time

Posted

5/29/2026

Compensation

Not listed

Undergraduate with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

The Analytics Engineer role at Apple focuses on shaping how iCloud products are understood and improved for millions of users. The position is within the iCloud Data organization, which partners with various teams to derive insights that influence product decisions. The ideal candidate will leverage their expertise in data modeling, SQL, and Python to automate workflows and enhance analytical capabilities. This role offers the opportunity to impact significant software applications and contribute to the growth of iCloud.

Requirements

  • 4+ years of experience in analytics engineering, data engineering, or a closely related analytical role.
  • Deep SQL expertise and proficiency in Python or R for data analysis, transformation, and automation.
  • Experience building and maintaining data pipelines and data models using distributed computing frameworks.
  • Strong understanding of data modeling principles, dimensional design, and data architecture best practices.
  • Experience defining metrics and partnering with product teams to establish measurement frameworks.
  • Comfort working with AI-assisted development tools and an eagerness to apply them.
  • Strong communication skills to translate complex data findings into clear insights.
  • BS or equivalent work experience in a quantitative field.
  • Experience with data visualization tools and building self-serve analytics products.
  • Understanding of the data lifecycle and concepts such as data lineage and governance.
  • Experience working in a complex, matrixed organization on cross-functional projects.
  • Advanced degree in a quantitative field is a plus.

Responsibilities

  • Turn complex data into clear product insights that drive real decisions.
  • Use AI to automate workflows and scale analytical impact.
  • Build and maintain data pipelines and models to support analytics.
  • Define metrics and collaborate with product teams for measurement frameworks.
  • Translate complex data findings into actionable insights for various audiences.
  • Utilize AI coding assistants to enhance analytics workflows and pipeline development.

Benefits

  • 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.

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