Apple Verified
Consumer Electronics, Software, Services, Retail
Senior Data Analyst - OS Stability
San Diego, CAOnsiteFull TimeSeniorPosted 2 months agoVisa sponsorship available
Required skills
- Data Stability
- AI-augmented analysis
- Operating systems
- Predictive insights
- Intelligent automation
- Human oversight
- AI systems
- Monitoring
- Regression detection
- Pattern recognition
Nice to have
- Stability analysis
- Crash investigation
- Quality engineering
- Machine learning
- Predictive analytics
- Automation tools
Role summary
The Field Engagement and Analytics organization is seeking an experienced Senior Data Analyst focused on OS Stability. This role leverages AI-augmented analysis and cross-functional collaboration to drive product stability. Responsibilities include leading stability initiatives, using AI for proactive issue identification, and coordinating resolutions across engineering teams. The analyst will oversee AI systems for monitoring and predictive regression detection, present findings to leadership, and optimize human-AI workflows for complex pattern identification in stability data. A BS in a technical field and 3-5 years of experience in data analysis or stability engineering are required, along with proficiency in Python, SQL, and data visualization tools.
The Field Engagement and Analytics organization is seeking an experienced Data Stability Analyst to drive product stability through AI-augmented analysis and cross-functional collaboration. This role combines advanced data analysis with predictive insights and intelligent automation while maintaining critical human oversight for strategic decision-making. You'll lead stability initiatives across all operating systems, working with AI systems to proactively identify issues before they impact users and coordinating resolution efforts across multiple engineering teams
We are looking for someone to drive AI-enhanced stability analysis and lead cross-functional resolution efforts for critical software stability issues. Partner with Engineering, QA, Product, and Release Management teams throughout the stability lifecycle from detection through resolution. Oversee AI systems for intelligent monitoring, predictive regression detection, and automated pattern recognition while providing strategic human insight. Present stability trends, risks, and recommendations to executive leadership. Own end-to-end accountability for critical stability investigations involving multiple teams. Design and optimize human-AI collaboration workflows to identify complex patterns in stability data and improve operating system stability.
BS in Computer Science, Engineering, or related technical field At least 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 with ability to work with large datasets and identify patterns Excellent communication and presentation skills for technical and executive audiences Experience with data analysis tools and basic ML/AI prompt engineering Proficiency in Python, SQL and data visualization tools such as Tableau for advanced analytics and compelling data presentation
Experience with stability analysis, crash investigation, or quality engineering Knowledge of machine learning, predictive analytics, or automation tools Experience with MCP Servers, AI Agents, advanced Prompt Engineering, and using AI for complex automated data analysis Program management experience with multi-team coordination and dependency management Strong leadership skills with ability to influence without direct authority Experience presenting to executive leadership and managing stakeholder relationships
Description
We are looking for someone to drive AI-enhanced stability analysis and lead cross-functional resolution efforts for critical software stability issues. Partner with Engineering, QA, Product, and Release Management teams throughout the stability lifecycle from detection through resolution. Oversee AI systems for intelligent monitoring, predictive regression detection, and automated pattern recognition while providing strategic human insight. Present stability trends, risks, and recommendations to executive leadership. Own end-to-end accountability for critical stability investigations involving multiple teams. Design and optimize human-AI collaboration workflows to identify complex patterns in stability data and improve operating system stability.
Minimum Qualifications
BS in Computer Science, Engineering, or related technical field At least 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 with ability to work with large datasets and identify patterns Excellent communication and presentation skills for technical and executive audiences Experience with data analysis tools and basic ML/AI prompt engineering Proficiency in Python, SQL and data visualization tools such as Tableau for advanced analytics and compelling data presentation
Preferred Qualifications
Experience with stability analysis, crash investigation, or quality engineering Knowledge of machine learning, predictive analytics, or automation tools Experience with MCP Servers, AI Agents, advanced Prompt Engineering, and using AI for complex automated data analysis Program management experience with multi-team coordination and dependency management Strong leadership skills with ability to influence without direct authority Experience presenting to executive leadership and managing stakeholder relationships
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