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Apple Analytics Engineer Retail Store United States, Texas, Austin 746865106
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Description
You will partner with cross-functional teams to identify, create, and maintain metrics and data pipelines to support analytics, reporting, and key decisions on a wide variety of topics including product launches, customer experience, and operational performance. Other responsibilities include the following:• Design, create, refine, and maintain data pipelines and ingestion processes used for modeling, analysis, and reporting.• Collaborate with other data scientists, analysts, and engineers to build full-service data solutions.• Work with cross-functional business partners and vendors to acquire and transform raw data sources.• Develop a deep understanding of our retail customer base and purchase choices and contribute to the development of tools to improve business efficiency and productivity.
Minimum Qualifications
- 4+ years of related work experience in decision/data science, consulting, or other related business facing role
- Bachelor’s Degree
- Fluency in SQL and Python, including schema design and data modeling
- Experience building robust and scalable data processes and pipelines for modeling, analysis, and reporting
Preferred Qualifications
- 6+ years of related work experience in decision/data science, preferably in an operations role
- Bachelor’s Degree in related quantitative field
- Experience working with Snowflake, and pipeline tools like Airflow and dbt
- Experience with BI processes and some experience with dashboard tools like Tableau
- Ability to initiate, refine, and complete projects with minimal guidance
- Ability to think critically and collaborate cross-functionally with other data engineering, data science and analytics stakeholders distilling abstract requirements into clear data products
Additional Requirements
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.
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