Senior AI-Driven BI Engineer for Executive Analytics

Amazon; Austin (TX); On-site; USD 130,000 - 176,000; Full time

Job summary

Amazon in Austin is seeking a Senior Business Intelligence Engineer to drive AI-enabled analytics and support executive decision-making. You will define scalable processes, dive into product metrics across business units, and apply business and technical acumen in a fast-paced environment.

You will build AI tools, own automated reporting, and collaborate with Product Managers to shape data and reporting requirements while ensuring data integrity and robust validation.

Qualifications

• Experience programming to extract, transform and clean large (multi-TB) data sets.
• Experience with AWS technologies and data storage/compute tools.
• Experience with theory and practice of information retrieval, data science, ML and data mining.
• Experience using Cloud Storage and Computing tech such as AWS Redshift, S3, Hadoop, etc.
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience in the data/BI space and creating AI-based tools for non-technical stakeholders.

Responsibilities

• Design and build AI tools that derive actionable insights from large datasets.
• Own automated solutions for recurrent reporting and analyses including dashboards.
• Improve analytical processes by automating and scaling self-service for customers.
• Collaborate with Product Managers to translate data problems into reporting requirements.
• Ensure data integrity, test design, analysis, validation, and documentation.

Skills

ETL programming

AWS technologies

Python scripting

Advanced SQL

Data/BI experience

AI tooling for stakeholders

Education

Master's degree in statistics or data science

Tools

AWS Redshift

S3

Hadoop

Job description

Amazon in Austin is seeking a Senior Business Intelligence Engineer to drive AI-enabled analytics and support executive decision-making. You will define scalable processes, dive into product metrics across business units, and apply business and technical acumen in a fast-paced environment.

You will build AI tools, own automated reporting, and collaborate with Product Managers to shape data and reporting requirements while ensuring data integrity and robust validation.