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 Apple Media Products - Big Data Analyst, Analytics Engineering - Cupertino, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200190389 / Latpro-3753344 
Date posted: Sep-05-2020
State, Zip: California, 95014

Description

Apple Media Products - Big Data Analyst, Analytics Engineering

Santa Clara Valley (Cupertino) , California , United States

Software and Services

Summary

Posted: Sep 4, 2020

Weekly Hours: 40

Role Number: 200190389

These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple's unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and multi-functional, offering greater exposure to the array of opportunities here.

Key Qualifications

  • Experience in data analytics with proficient SQL or other data query language skills.
  • Able to find insights and trends from data accurately with attention to details, document, communicate, and present in concise manner.
  • Strong programming skills in Scala, Python, or similar languages.
  • Experience with Hadoop and Spark.
  • Understand the business implication of metrics based on web/app user experience event data such as clickstream, play, commerce transactions.
  • Strong sense of initiative and ability to drive projects run by multi-functional team to completion.
  • Excellent interpersonal skills.

Description

We are looking for an individual with a passion for solving sophisticated data problems with attention to detail, and logical thinking skills. In the growing Apple Media Products Analytics Engineering team you will perform data analysis, and dig into rich user experience big data to find out the root cause of data issues. You will facilitate technical business discussions to determine the right technical resolution to seek business problems. You will collaborate with leading data scientists, crafting out data curations and annotations for building data science and machine learning solutions. Upon investigation results and working with data scientists, you will design data pipelines and significant metrics so that the team can monitor and detect anomalies earlier. You will also identify potential areas of risks that could collapse the pipeline or harm a quality of data output. This is an extraordinary opportunity to work on real big data with the latest technologies, and contribute to Apple's data quality and privacy initiatives!

Education & Experience

Bachelor or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or equivalent experience. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.



Requirements

See job description

 

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