Business Analyst I, IES ShopEx

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. The 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 whom we serve.

Key job 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 written business recommendations to grow the business.
4. Develop a thorough understanding of customer behavior and external business drivers to inform decision-making.
5. Analyze key insight trends and build models to predict customer behavior, using statistical rigor to simplify and provide thought leadership to device product and marketing groups.
6. Collaborate with finance, marketing, and product management as a leader of ongoing analytical support.

Basic Qualifications

• Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering).
• 2+ years of hands-on experience writing SQL queries.
• Experience with building and maintaining basic data artifacts (e.g., ETL, data models, queries).
• Experience with AWS services including S3, Redshift, EMR, Kinesis, and RDS.
• Experience in working and delivering end-to-end projects independently.
• Knowledge of distributed systems as it pertains to data storage and computing.
• Experience with data visualization tools (e.g., Tableau, Quicksight, PowerBI) and statistical methods (e.g., t-test, Chi-squared).
• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Proficiency with SQL and scripting (Python) for data processing and modeling.
• Knowledge of data warehousing concepts.

Preferred Qualifications

• Inquisitive mindset with proven problem-solving ability and passion for big data.
• Experience with building multi-dimensional data models for analysis.
• Experience with building and operating highly available, distributed data systems.
• Proficiency with regression, classification, and cluster analysis approaches.
• Experience with data visualization/reporting software (e.g., Tableau).
• Advanced SQL, data mining skills, and analytical tools (e.g., R, Python, SAS).

About the team

Amazon IES Shopping experience team owns the charter for defining the shopping experience across key country and 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.