Business Intelligence Engineer, SCOT - Automated Inventory Management

Amazon
London
1 month ago
Applications closed

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Business Intelligence Engineer, SCOT - Automated Inventory Management

About the team
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? 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. Our vision is to ensure Amazon Customers have the best experience on Amazon, throughout the year, and do not have to compromise with a less than optimal experience during High traffic / Deal events.

SCOT Team 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.

This role will require partnering closely with Product Managers across SCOT to segment our key Customer Experience and Supply Chain metrics, such as SoROOS and Local-In-Stock, identify key opportunities to improve our system and process, to deliver Best-At-Amazon experiences for Customers throughout the year.

Key job responsibilities

  1. Analyze and synthesize large data streams across multiple systems/inputs.
  2. 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 inventory availability for customers both nationally and regionally.
  3. Develop business insights based on data extraction, data analytics, trend deduction & pattern recognition.
  4. Present these business insights to senior management/executives.
  5. Create advanced dashboards to help a large group of teams consume insights, make changes to business processes, and track progress.
  6. Build analytical models that can help improve business outcomes at scale, enhancing current system abilities.

BASIC QUALIFICATIONS

- 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

PREFERRED QUALIFICATIONS

- 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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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