Business Intelligence Engineer, Amazon Appstore

Amazon Appstore is responsible for providing delightful customer experiences across Amazon devices (FireTV, Tablets) with a vast selection of relevant apps, games, and services. The Appstore team is seeking an experienced Business Intelligence Engineer to join our central Data Engineering and Analytics team. The role will be responsible for closely partnering with Data Engineers, Software Development Engineers to build data transformations and provide actionable insights for our Product and Tech stakeholders. This is an exciting opportunity to work on very large datasets and influence products that impact tens of millions of customers on a daily basis.
Key job responsibilities
In this role, you will:
- Analyze and extract relevant information from large, complicated data sets of structured and unstructured data to identify insights to influence product roadmap.
- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support business teams.
- Collaborate with product and technical teams to develop and track KPIs, automated reporting/process solutions and data infrastructure improvements to meet product team needs.
- Serve as liaison between the product and technical teams to provide actionable insights and drive deep dive investigations into future improvements.
- Drive data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
- 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
- Experience translating customer needs into business requirements
- 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 in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
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