Data Incident Analyst

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$318,400 / yr
Posted: 29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $250k

$93k most similar roles pay here $343k

This role pays more than 95% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $250k versus about $162k for comparable roles.

Based on 239 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Incident Analyst

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Join the Apple Service Engineering team as a Data Incident Analyst, where you will play a pivotal role in addressing complex data quality issues across products like App Analytics and Podcast Connect Analytics. Your day-to-day responsibilities include diving into large-scale data sets to identify trends, partnering with cross-functional teams including data engineers and scientists to implement mitigation strategies, and improving development cycles to prevent future incidents. You should be proficient in SQL or Python Pandas, have experience with data visualization tools like Tableau, and possess a strong background in statistical analysis. This role requires expertise in handling big data technologies such as Spark and Hive, familiarity with cloud platforms like Kubernetes, and the ability to thrive in an agile, collaborative environment that values continuous learning and mentorship.

Skills

SQL Python Pandas Tableau GGplot Kubernetes Spark Hive Trino Flink Airflow CI/CD

What you'll do

Analyze large-scale data quality issues to identify trends and key insights.
Collaborate with data engineers and scientists to implement mitigation strategies.
Facilitate cross-functional discussions to determine technical solutions for business problems.
Enhance development and operational processes to prevent future issues.
Use statistical analysis, forecasting, and modeling techniques in problem-solving.

What we're looking for

5+ years of professional experience in analytics or data engineering roles
Strong problem-solving skills in complex technical data and analytics products
Proficient in SQL or Python Pandas for data analysis
Experience with data visualization tools like Tableau, GGplot, Keynote
Background in quantitative fields such as Computer Science, Engineering, Mathematics
Excellent communication and collaboration skills for cross-functional teams

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