Business Intel Engineer II, SCOT - Automated Inventory Management

Key job responsibilities

• Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions.
• Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally.
• Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners.
• Creating new solutions to automate the business process of identifying and resolving defects (e.g., through metric dashboards and automated alarms, self-service dashboard, Single source of truth tables).
• S supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap.
• Developing dashboards and insight products.
• Fostering a culture of continuous engineering improvement through blueprints, mentoring, feedback, and metrics.

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Basic Qualifications

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• 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 in the data/BI space
• Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field

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
• Master's degree or above in a quantitative field