Data Analytics Engineer - Apple Services Engineering

World's largest technology company known for the App Store, which serves over half a billion customers weekly across Apple devices.
$143,100 - $264,200
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Consumer
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Description For Data Analytics Engineer - Apple Services Engineering

Apple's App Store is seeking a Data Analytics Engineer to join their Services Engineering team. This role is crucial in driving data-driven decisions for the world's largest app marketplace, serving over half a billion customers weekly. As part of the App Store Data team, you'll analyze trends, develop insights, and build solutions that power Apple's strategic decisions. The position requires expertise in data manipulation, big data technologies, and analytics, with a focus on fraud detection and pattern analysis. You'll work with cutting-edge tools and technologies while contributing to projects that directly impact Apple's business growth. The role offers competitive compensation, comprehensive benefits, and the opportunity to work with world-class teams in shaping the future of the App Store. You'll be responsible for developing analytical solutions, communicating insights to stakeholders, and implementing data-driven strategies that enhance both user and developer experiences. This position combines technical expertise with business acumen, requiring strong analytical skills and the ability to translate complex data into actionable insights. The role offers growth opportunities within Apple's dynamic environment, where innovation and technical excellence are highly valued.

Last updated 2 months ago

Responsibilities For Data Analytics Engineer - Apple Services Engineering

  • Analyze data, spot trends and patterns, and use findings to give actionable recommendations
  • Communicate insights clearly to different teams and stakeholders
  • Collect, process, and analyze large datasets using SQL, Python or Scala in big data ecosystem
  • Contribute to large-scale quantitative analysis projects through all phases
  • Apply research and analytical skills to monitor and analyze suspicious user/device patterns
  • Monitor and analyze anomalies and consolidate anti-fraud rules to mitigate usage based billing fraud

Requirements For Data Analytics Engineer - Apple Services Engineering

Python
  • B.S. in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering)
  • At least 5+ years of experience as a Data Analytics Engineer with excellent analytical and problem-solving skills
  • Advanced programming skills in data manipulation & processing (SQL, Python and Scala)
  • Experience in the big data ecosystem (e.g. Hadoop, Spark, Iceberg, Trino, Airflow)
  • Proven expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset etc
  • Strong understanding of data analytics, structured and unstructured data analysis, predictive modeling techniques
  • Outstanding verbal and written communication skills, along with strong collaborative abilities

Benefits For Data Analytics Engineer - Apple Services Engineering

Medical Insurance
Dental Insurance
401k
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan with discount
  • Discretionary bonuses
  • Relocation assistance

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