The CMT Central Analytics Team leads pricing analytics to improve Amazons competitive position and customer value perception. We seek a Business Intelligence (BI) Engineer to strengthen our datadriven decisionmaking processes.
This position combines strategic planning with direct implementation. The role requires strong analytical capabilities experience with BI solutions business acumen and the ability to collaborate across CMT teams. The BI Engineer will own and automate reporting solutions support CMT and Retail business teams analyze pricing data to identify key decision drivers and deliver actionable insights.
We need a selfdirected professional who thrives in dynamic environments. The successful candidate will demonstrate the ability to work independently quick comprehension of Amazons pricing systems problemsolving skills and experience managing multiple priorities
Key job responsibilities
1. Partner with CMT business and product teams to analyze business drivers and technical requirements. Develop data models conduct analysis and provide solutions to product challenges.
2. Develop and implement key performance indicators (KPIs) to measure business performance and product impact. Transform metrics into actionable insights.
3. Design and build automated selfservice reporting platforms for largescale data analysis.
4. Write and optimize SQL queries for both scheduled reporting and adhoc analysis.
5. Lead data infrastructure management for the CMT central analytics team. Select appropriate data sources and collaborate with teams to ensure data accuracy and consistency.
6. Architect and implement endtoend data solutions for new product launches from requirements gathering to deployment
5 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
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
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 largescale complex datasets
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