Business Intelligence Engineer, Crossborder Tech

Business Intelligence Engineer, Crossborder Tech

Join Amazon's Cross-Border Team as a Business Intelligence Engineer and help revolutionize cross-border e-commerce! In this dynamic role, you'll leverage data to drive innovations that enhance the global shopping experience for millions of customers across 200+ destinations.

Your analytical expertise will be crucial in optimizing how customers discover products, build their carts, and receive their orders quickly and efficiently. You'll dive deep into data to uncover insights that power personalized content delivery, making every customer interaction more relevant and engaging.

Working with cross-functional teams, you'll develop and analyze complex BI solutions focusing on key areas such as Ordering, Engagement, Personalization, and Promotions. Your data-driven strategies will be instrumental in fueling our exponential growth and shaping the future of international online retail.

If you're passionate about using advanced analytics to solve complex business challenges and want to make a significant impact on global e-commerce, we want you on our team. We are looking for people looking to transform the analytical landscape using AI solutions. Join us in creating a more connected and efficient marketplace through the power of data and innovation.

Key job responsibilities
You're looking for a career where you'll be able to analyze, innovate, and drive data-driven decisions. You build analytics solutions that provide insights to stakeholders across the organization, impacting millions of customers worldwide. You look at business problems holistically, and thrive on the intricate complexity of designing robust data models and insightful dashboards. You want to work on projects where you are implementing analytics solutions to real business challenges that require creative thinking and a deep understanding of both the data and the business domain. You challenge yourself and others to constantly improve data quality, analysis techniques, and visualization methods. You work closely with various teams to define key performance indicators, develop predictive models, and uncover innovative solutions to help the business continue its exponential growth. Your expertise in transforming raw data into actionable intelligence is crucial in shaping strategic decisions and optimizing operations across the company.

About the team
Our BI team thrives on curiosity and inclusivity. We celebrate diversity through employee-led groups and events, fostering an environment where everyone's uniqueness is valued. Continuous learning is at our core, with robust mentorship programs and knowledge-sharing opportunities driving professional growth. We prioritize work-life balance, striving for a culture that supports both professional success and personal well-being. Regular team-building activities, like game nights, strengthen our bonds and inject fun into our collaborative culture. This balanced approach creates a dynamic workspace where innovation flourishes and every team member feels supported in their career journey.

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Demonstrated experience collaborating with cross-functional teams and stakeholders, coupled with strong problem-solving skills and the ability to work effectively with loosely defined requirements.

Preferred Qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience optimizing query performance and managing resource usage in large-scale data environments.
- Deep understanding of data lineage, from source systems to business consumption.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Experience Level

Mid Level