Business Intelligence Engineer, P2 Science, Data, and Insights

Join Amazon's Pricing & Promotions Science, Data, and Insights team as a Business Intelligence Engineer, where you'll be at the forefront of shaping how Amazon prices and promotes products globally. This role combines deep technical expertise with business impact, working with hundreds of PBs of data and thousands of active datasets.

As a Business Intelligence Engineer, you'll be instrumental in driving Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your work will directly influence pricing and promotions decisions that impact millions of customers globally. The role requires expertise in data analysis, visualization, and modeling, with hands-on experience in SQL, Python, and various BI tools.

The P2 Science, Data and Insights team is implementing an ambitious three-year transformation strategy to reshape Amazon's pricing and promotional decisions. You'll work on sophisticated anomaly detection tools, data-driven insights that shape business strategy, and solutions that enhance customer experience. The team combines engineering expertise with business acumen to manage mission-critical data that influences billions in revenue decisions.

Key responsibilities include developing advanced analytical metrics, leading data-driven discussions with Product teams, designing automated reporting systems, and creating intuitive dashboards. You'll also be responsible for enhancing data infrastructure, implementing best practices in data quality, and architecting scalable solutions.

The role offers significant growth opportunities, working with advanced analytics technologies and Large Language Models (LLMs) to generate business-impacting insights. You'll collaborate with diverse team members who bring unique problem-solving approaches to complex challenges.

This position requires strong communication skills to present compelling insights to senior leadership and influence key stakeholders. You'll be expected to champion innovation, stay current with BI trends, and mentor colleagues in advanced analytics techniques.

The ideal candidate brings 3+ years of data analysis experience, strong technical skills in SQL and Python, and experience with data visualization tools. You should be passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact.