Business Intelligence Engineer, Defect Elimination Analytics

$89,600 - $185,000/Yr

Amazon - Austin, TX

Full-time - Mid Level

Austin, TX

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Business Intelligence Engineer (BIE) role at Amazon focuses on enhancing customer experience by leveraging technology to identify and eliminate defects. The BIE will collaborate with various teams to provide insights on customer feedback, develop key performance indicators, and assist in feature engineering and model development. This position requires a detail-oriented and enthusiastic individual who thrives in a fast-paced, dynamic environment and is eager to work with big data technologies and statistical modeling.

Responsibilities

• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc.
• Partner with operations/business teams/economist/ML teams to consult, develop and implement KPI's, automated reporting/process solutions and data infrastructure improvements to meet business needs.
• Develop the end-to-end automation of pipelines for applications and ML models.
• Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets.
• Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.

Requirements

• 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 writing complex SQL queries
• 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
• Bachelor's Degree

Nice-to-haves

• 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

Benefits

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