Business Intelligence Engineer, Automated Inventory Management

3-5 years
a month ago 1 Applied
Job Description


Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast Wondered where it came from and how much it cost Amazon If so, Amazon's Supply Chain Optimization Technology (SCOT) organization is for you. At SCOT, we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart & passionate team members. (Learn more about SCOT:

SCOT Regional Team in India is seeking highly motivated individuals with exceptional data analytics skills and a passion for tackling intricate challenges. In this role, you will utilize your expertise to inform impactful business decisions that enhance customer experience and contribute to long-term free cash flow growth. You will gain a comprehensive understanding of Amazon's systems and supply chain processes through collaboration with diverse teams across product, science, tech, retail categories, finance, and operations.

Key job responsibilities
. Analyze and synthesize large data streams across multiple systems/inputs.
. Work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers, improving a wide range of internal products that impact sourcing and inventory health.
. Develop business insights basis data extraction, data analytics, trend deduction & Pattern recognition.
. Present these business insights to senior management/executives.
. Create advanced dashboard to help a large group of teams to consume insights make changes to business process and track progress.
. Build analytical models that can help improve business outcomes at scale enhancing current system abilities.

We are open to hiring candidates to work out of one of the following locations:

Bengaluru, KA, IND


- 3+ 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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