Amazon Global Selling is a key initiative to achieve our vision to offer customers Earths largest selection. We provide businesses the opportunity to sell their goods on the Amazon platform worldwide. Each year tens of thousands of businesses join our Marketplace in 10 countries adding millions of new products.
Amazons Asia Global Selling Existing Seller Management (ESM) team currently seeks a passionate business analyst to turn data into actionable insights and support answer strategic business questions.
Key job responsibilities
In this role you will be working in one of the worlds largest and most complex data warehouse environments. You should be passionate about working with complex datasets and be someone who loves to turn data into insights to answer strategic business questions. You should have deep expertise in analytic view of business questions building up & refining metrics framework to measure business operation and translating data into meaningful this role you will have ownership of end-to-end analytics development to complex questions and youll play an integral role in strategic decision making.
You should have excellent business and communication skills to be able to work with business owners to understand business challenges & opportunities and to drive data-driven decision into process & tool improvement together with business team. Above all you should be passionate about how insights can be used to improve both the Customer and Seller experience of selling across borders.
- 4 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 large-scale complex datasets
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