Data Analytics Engineer
2 days ago
At Apple, we're looking for a talented Data Analytics Engineer to join our App Store team. As a key member of our data-driven innovation team, you'll play a crucial role in helping us make data-driven decisions and improve the App Store experience for both users and developers.
Key Responsibilities:
- Analyze large datasets to identify trends and patterns, and use your findings to provide actionable recommendations that drive business growth.
- Develop and maintain high-quality data visualizations and reporting using tools like Tableau and Superset.
- Collaborate with cross-functional teams to collect requirements and translate them into practical data analysis solutions.
- Stay up-to-date with emerging methodologies like artificial intelligence and apply them to improve our data analytics capabilities.
Requirements:
- Bachelor's degree 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 and processing (SQL, Python, Scala).
- Experience in the big data ecosystem (e.g., Hadoop, Spark, Iceberg, Trino, Airflow).
What We Offer:
- Competitive base pay between $135,400 and $250,600, depending on skills, qualifications, experience, and location.
- Discretionary employee stock programs, including restricted stock unit awards and the Employee Stock Purchase Plan.
- Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services.
Apple is an Equal Opportunity Employer:
We're committed to inclusion and diversity, and 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.
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