Senior BI Engineer, APAC/ANZ Analytics

Amazon; Hinoba-an; On-site; PHP 1,400,000 - 1,800,000; Full time

Job summary

Amazon is seeking a Sr. Business Intelligence Engineer for the Prime Video APAC and ANZ Analytics Team. The role focuses on turning large datasets into actionable insights to support content, programming, marketing, and marketplace decisions.

You will own dashboards and metrics, build scalable data processes, and work closely with stakeholders to quantify customer behavior and reduce churn. Strong SQL, Python scripting, and AWS experience are required.

Qualifications

• 10+ years of professional or military experience.
• 5+ years of SQL experience.
• Experience programming to extract, transform and clean large (multi-TB) data sets.
• Experience with theory and practice of design of experiments and statistical analysis of results.
• Experience with AWS technologies.
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of information retrieval, data science, machine learning and data mining.

Responsibilities

• Strong interest and ability to take complex datasets and boil them down to actionable data visualizations.
• Own the design, development, and maintenance of ongoing performance dashboards, metrics, reports, analyses, etc. to drive key business decisions.
• Build scalable, efficient, and automated data processes to inform business decision making.
• Proactively develop new metrics and studies to quantify customer behavior and reduce customer churn.

Skills

SQL

Python

Data visualization

AWS

Data analysis

Design of experiments

Machine learning

Data mining

Tools

AWS technologies

Job description

Amazon is seeking a Sr. Business Intelligence Engineer for the Prime Video APAC and ANZ Analytics Team. The role focuses on turning large datasets into actionable insights to support content, programming, marketing, and marketplace decisions.

You will own dashboards and metrics, build scalable data processes, and work closely with stakeholders to quantify customer behavior and reduce churn. Strong SQL, Python scripting, and AWS experience are required.