Apple | Analytics Engineer: Retail Store Analytics | cupertino, ca

$112,900 - $234,700/Yr

Apple - Cupertino, CA

Full-time - Mid Level

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

As an Analytics Engineer on the Retail Store Analytics team at Apple, you will play a crucial role in creating and maintaining analytic data pipelines that support decision-making across Retail. This position involves leveraging large and complex data sources to drive business decisions, enhance customer experience, and improve operational performance. You will collaborate with cross-functional teams to develop metrics and data solutions that empower analytics and reporting.

Responsibilities

• 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 the retail customer base and purchase choices to improve business efficiency and productivity.

Requirements

• 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.

Nice-to-haves

• 6+ years of related work experience in decision/data science, preferably in an operations role.
• Bachelor's Degree in a 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.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Opportunity to participate in Apple's discretionary employee stock programs.