Analytics Engineer: Retail Store Analytics

Apple

Apple is known for revolutionizing industries through innovative technology and an inclusive culture. The Retail Operations team is focused on creating tools and programs to enhance the Apple experience worldwide. This role plays a crucial part in influencing business decisions through data-driven insights.

In this role you can expect to have the responsibilities:

• Collaborate with cross-functional teams to identify and maintain metrics and data pipelines
• Design and refine data pipelines and ingestion processes for modeling and reporting
• Work with data scientists and engineers to develop comprehensive data solutions
• Acquire and transform raw data from diverse business partners and vendors
• Enhance understanding of retail customer preferences and improve business productivity

This role comes with the following benefits:

This role requires you to have:

• 4+ years of experience in decision/data science or a related field
• Bachelor’s Degree
• Proficiency in SQL and Python with skills in schema design and data modeling
• Experience in building scalable data processes for analysis and reporting

You would benefit from having:

• 6+ years of experience in decision/data science in an operations role
• Degree in a quantitative field
• Knowledge of Snowflake and pipeline tools like Airflow and dbt
• Familiarity with BI processes and dashboard tools like Tableau
• Initiative to manage projects with minimal guidance
• Critical thinking and ability to collaborate across departments

Apple emphasizes diversity and inclusion, offering equal opportunities without regard to race, gender, or other protected characteristics.