Business Intelligence Engineer, SCOT - Automated Inventory Management

Amazon; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Business Intelligence Engineer to join their dynamic SCOT team. This role involves leveraging data analytics to drive impactful business decisions that enhance customer experiences and optimize supply chain processes. You will collaborate with Product Managers to analyze customer behaviors, create advanced dashboards, and develop analytical models that improve business outcomes. If you are passionate about data and eager to tackle complex challenges in a fast-paced environment, this opportunity is perfect for you. Join a team that values inclusion and innovation, and help shape the future of customer experience.

Qualifications

• 3+ years of data analysis experience with tools like Redshift and SQL.
• Proficient in data visualization tools like Tableau and Quicksight.

Responsibilities

• Analyze large data streams and present insights to management.
• Develop dashboards and analytical models to improve business outcomes.

Skills

Data Analysis

Data Visualization

Statistical Analysis

SQL

Python

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

R

SAS

Matlab

AWS (EC2, DynamoDB, S3)

Job description

Business Intelligence Engineer, SCOT - Automated Inventory Management

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: http://bit.ly/amazon-scot)

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 through the year, 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 to 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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.