Analytics Engineer
Core
Design, create, and maintain data pipelines and metrics to support analytics, reporting, and decision-making for Apple Retail operations.
Role type
Senior Analytics Engineer (Data Engineering)
Builds
Data pipelines, ingestion processes, and data products for retail analytics and reporting.
Domain
Retail / Data Engineering
Deliverable
production ML models | product features
Required skills
SQL, Python, data modeling, data pipeline development, data extraction and manipulation, data observability, version control, requirements gathering, data testing, documentation
Preferred skills
Airflow, dbt, unit testing, anomaly detection, alerting, BI processes, Tableau
Technologies
SQL, Python, dbt, Airflow, Tableau, command line
Responsibilities
Design and maintain data pipelines for modeling, analysis, and reporting; collaborate with data scientists and engineers to build data solutions; acquire and transform raw data sources; develop predictive models for device export predictions; automate testing and alerting to improve data quality; translate business needs into data requirements and communicate results to stakeholders.
Seniority
Senior, hands-on IC
