This role pays more than
75%
of similar roles. Most pay
$136,050–$202,120
— the shaded band above.
At the midpoint, this role pays about
$203k
versus about
$169k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
The Senior Data Analyst - OS Stability joins the Field Engagement and Analytics organization to drive product stability through AI-augmented analysis and cross-functional collaboration. This role involves leading stability initiatives across all operating systems, where you will oversee AI systems for intelligent monitoring, predictive regression detection, and automated pattern recognition while providing strategic human oversight. You will coordinate resolution efforts with Engineering, QA, Product, and Release Management teams to address critical software issues. Key responsibilities include prompt engineering ML systems for anomaly detection, managing multi-team dependencies, and presenting stability trends to executive leadership. Required skills include proficiency in Python, SQL, and Tableau for data visualization. The role focuses on the technical challenge of identifying complex patterns in stability data and optimizing human-AI collaboration workflows to improve operating system reliability through advanced analytics and predictive insights.
What does a Data Analyst earn?
Median $127950 from 39 postings across 21 companies.
Lead AI-augmented stability monitoring and predictive analysis across all operating systems.
Coordinate cross-functional investigations to resolve complex software stability issues.
Prompt engineer ML systems for anomaly detection and regression identification.
Design and optimize human-AI collaboration workflows to identify patterns in stability data.
Manage multi-team dependencies and timelines for critical stability improvements.
Create executive presentations and stakeholder communications using AI-generated insights.
Facilitate alignment and decision-making across Engineering, Product, and Operations teams.
What we're looking for
BS in Computer Science, Engineering, or a related technical field.
3-5 years of experience in data analysis, stability engineering, or technical program management.
Experience driving cross-functional initiatives across engineering and product teams.
Strong analytical skills to work with large datasets and identify patterns.
Excellent communication and presentation skills for both technical and executive audiences.
Experience with data analysis tools and basic ML/AI prompt engineering.
Proficiency in Python, SQL, and data visualization tools like Tableau.
Experience with stability analysis, crash investigation, or quality engineering (preferred); knowledge of machine learning, predictive analytics, or automation tools (preferred).
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