Are you analytically sharp and passionate about applying advanced analytics to impact business decisions? Come and be a driving force of Amazon’s International Emerging Stores Shopping experience team.
About the Team
Amazon IES Shopping team owns the charter for defining the shopping experience across multiple category needs for Amazon's emerging markets. We are a large product organization solving key customer problems through Customer Insights, Tech development, and Machine Learning capabilities. We work backwards from emerging customer needs and build solutions to scale these globally. We build adaptive experiences that adapt to the customer, category, and country we serve.
Key Responsibilities
1. Build scalable solutions and self-serve platforms that provide data/KPIs to inform business decision-making.
2. Investigate data sources across Amazon and expand existing device data infrastructure.
3. Identify, develop, manage, and execute analyses to uncover opportunities and present business recommendations.
4. Develop a thorough understanding of customer behavior and external business drivers to inform decisions.
5. Analyze key insight trends and build models predicting customer behavior using statistical methods.
6. Collaborate with finance, marketing, and product management to provide ongoing analytical support.
Basic Qualifications
* Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering).
* 2+ years of experience writing SQL queries.
* Experience with building and maintaining data artifacts (ETL, data models, queries).
* Experience with AWS services including S3, Redshift, EMR, Kinesis, and RDS.
* Experience delivering end-to-end projects independently.
* Knowledge of distributed systems related to data storage and computing.
* Experience with data visualization tools (e.g., Tableau, Quicksight, PowerBI) and statistical methods.
* 2+ years analyzing data with Redshift, Oracle, NoSQL, etc.
* Proficiency in SQL and scripting (Python) for data processing.
Preferred Qualifications
* Inquisitive mindset with problem-solving skills and passion for big data.
* Experience building multi-dimensional data models.
* Experience with distributed data systems for large datasets.
* Proficiency in regression, classification, and cluster analysis.
* Knowledge of data visualization/reporting software (e.g., Tableau).
* Advanced SQL, data mining skills, and analytical tools (R/Python/SAS).
We are committed to an inclusive culture. If you need workplace accommodations during the application process, please visit this link.
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