Business Intelligence Engineer II, SCOT-AIM MX

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 selection decisions both nationally and regionally
• 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.
• Partner with category & business stakeholders to identify opportunities for process automation and innovation.

A day in the life

• Pioneering new analytical approaches and establishing best practices.
• Building solutions from the ground up with significant autonomy.
• Driving innovation in supply chain analytics through automation and advanced analytics.
• Making a direct impact on business performance through data-driven decision making.

About the team

The SCOT's Regional team for Mexico is part of Amazon's Supply Chain Optimization Technology (SCOT) organization, which solves complex technical problems and builds innovative solutions in a fast-paced environment working with smart & passionate team members.

Basic Qualifications

• Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field
• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
• 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

• Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
• 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
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business