Data Incident Analyst

The Apple Service Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Pay. And they do it at a massive scale, meeting Apple's high expectations with dedication to deliver a variety of entertainment in over 35 languages to more than 150 countries.

Do you have a passion for data and how it can be used to improve customer experience, protect user privacy, make products better, and increase revenue for a business? Do you thrive working with data engineers, data scientists and project managers in an agile, distributed and project focused work environment? If so, join us!

Apple is seeking an experienced incident manager/analyst to work on an exciting set of problems outstanding to ASE. You are a key driver to facilitate and solve complex problems around our data and analytics products such as App Analytics, Apple Music for Artists, Podcast Connect Analytics. You will help find interesting data trends, identify root causes, and help transform up-and-coming ideas to products and systems in a collaboration with data & analytics engineers, service engineers, project managers, and data scientists. You will do so in an environment that highly values collaboration, mentoring and continuous learning.

Description

Dive deep into large-scale data quality problems to uncover trends and identify key insights.

Partner with data engineers, data scientists, and project managers to conduct mitigation efforts.

Facilitate cross-functional discussion to find out what is the right technical resolution to the business problems

Improve development and operational cycles to mitigate future issues

Preferred Qualifications

Experience in coding for automation (e.g. Scala, Python, Java etc.)

Familiarity with writing data pipelines using one or more big data technologies (e.g. Spark, Hive, Trino, Flink, Airflow etc.)

Familiarity with modern cloud technologies such as Kubernetes

Familiarity with software development lifecycle for data science and engineering

Familiarity with commerce, payments, and user experience datasets at online services

Minimum Qualifications

5+ years in an analytics or data engineering role

Strong problem solving skills in complex technical data and analytics products

Excellent communication, collaboration, facilitating skills to drive resolution in cross functional setting,

Background in data analytics, proficient in SQL or Python Pandas

Experience with data visualization tools, such as Tableau, GGplot, Keynote etc

Fundamental understanding of statistical analysis, forecasting and modeling

Bachelors or higher degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Operations Research or a related field)","internalDetails":null

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits