Business Intelligence Engineer, DSP Analytics

Join Amazon's DSP Analytics team as a Business Intelligence Engineer to drive data-driven excellence in the Delivery Service Partner program. This role offers an exciting opportunity to shape the future of last-mile delivery through innovative data solutions.

You'll be working with Amazon's cutting-edge delivery operations, focusing on exceeding customer expectations through data-driven insights and solutions. The position combines technical expertise in data engineering with business acumen, requiring skills in SQL, Python, and various AWS technologies.

As a BIE, you'll lead end-to-end analytics projects, working closely with engineering teams, product managers, and organizational leaders. You'll be responsible for designing and implementing BI solutions, building automated reporting systems, and delivering actionable insights that drive business decisions.

The role offers exposure to Amazon's vast data infrastructure and the chance to work with technologies like Redshift, AWS S3, and various internal platforms. You'll be part of a dynamic team that values innovation and continuous learning, with opportunities to influence strategic decisions through data analysis.

Key aspects of the role include:

• Leading BI solution design and implementation
• Building and maintaining data pipelines and ETL processes
• Creating automated reporting and dashboards
• Conducting statistical analysis and trend reporting
• Working with stakeholders across multiple teams

The ideal candidate combines strong technical skills with excellent communication abilities, capable of translating complex data insights into actionable business recommendations. This position offers growth opportunities within Amazon's rapidly expanding logistics network and the chance to impact millions of customer deliveries.

Benefits include competitive compensation, comprehensive healthcare, and the opportunity to work with cutting-edge technology in a fast-paced, innovative environment. Join us in revolutionizing the future of delivery through data-driven solutions.