Data Engineer: Retail Analytics Solutions

5 days ago


Cupertino, California, United States Apple Full time
Retail Analytics Solutions Engineer

At Apple, we're looking for a talented Retail Analytics Solutions Engineer to join our team. As a key member of our Retail Store Analytics team, you will be responsible for designing, creating, and maintaining data pipelines and ingestion processes used for modeling, analysis, and reporting.

Key Responsibilities:

Design and develop data pipelines and ingestion processes for retail analytics
Collaborate with cross-functional teams to identify, create, and maintain metrics and data pipelines
Work with data scientists, analysts, and engineers to build full-service data solutions
Develop a deep understanding of our retail customer base and purchase choices

Requirements:

4+ years of related work experience in decision/data science, consulting, or other related business-facing role
Bachelor's Degree in a related quantitative field
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
Experience working with Snowflake, and pipeline tools like Airflow and dbt
Experience with BI processes and some experience with dashboard tools like Tableau

What We Offer:

At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, and commission payments. You'll also receive benefits, including comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services. Additionally, you'll have the opportunity to become an Apple shareholder through our discretionary employee stock programs.

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