Data Incident Analyst

The Apple Service Engineering team is one of the most exciting examples of Apples 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 Apples high expectations with dedication to deliver a variety of entertainment in over 35 languages to more than 150 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!nnApple 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 collaboration with data u0026 analytics engineers service engineers project managers and data scientists. You will do so in an environment that highly values collaboration mentoring and continuous learning.n

* Dive deep into large-scale data quality problems to uncover trends and identify key insights.n* Partner with data engineers data scientists and project managers to conduct mitigation efforts.n* Facilitate cross-functional discussion to find out what is the right technical resolution to the business problemsn* Improve development and operational cycles to mitigate future issues

5 years of professional experience including 3 years in an analytics or data engineering role and 2 years in project management (experience may overlap)nStrong problem solving skills in complex technical data and analytics productsnExcellent communication collaboration facilitating skills to drive resolution in cross functional settingnBackground in data analytics proficient in SQL or Python PandasnExperience with data visualization tools such as Tableau GGplot Keynote etcnFundamental understanding of statistical analysis forecasting and modelingnBachelors or higher degree in a quantitative field (e.g. Computer Science Engineering Mathematics Operations Research or a related field)

Experience in coding for automation (e.g. Scala Python Java etc.)nFamiliarity with writing data pipelines using one or more big data technologies (e.g. Spark Hive Trino Flink Airflow etc.)nFamiliarity with modern cloud technologies such as KubernetesnFamiliarity with software development lifecycle for data science and engineeringnFamiliarity with commerce payments and user experience datasets at online services