• Job Description

  Req#: 200536141

  Summary

  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, and Apple Books. 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 scientist and project managers in an agile, distributed and project focused work environment? If so, join us! Apple is seeking an experienced data analyst to work on an exciting set of problems outstanding to ASE. You will help find exciting data trends, identify root causes, and help transform up-and-coming ideas to products and systems. You will do so in an environment that highly values collaboration, mentoring and continuous learning.

  Key Qualifications

  • 3+ years in an analytics or data engineering role
  • Experience 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
  • 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
  • Excellent written and verbal communication skills

  Description

  Dive deep into large-scale data to uncover trends and identify key insights Build and automate dashboards used to present key insights to partners Partner with data engineers and project managers to conduct data investigation analysis Collaborate with researchers and machine learning engineers for building data science and machine learning solutions such as anomaly detection Facilitate technical and business discussion to determine what is the right technical direction to tackle business problems

  Education & Experience

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

  Additional Requirements

  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 $131,500.00 and $243,300.00, 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.
    
    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
    
    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.

• About the company

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