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Amazon
Amazon Appstore is a fast-growing Organization and 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.- Bachelor's degree in sciences, engineering, finance or equivalent
- 5+ years of professional experience working with large data sets and writing complex SQL queries to analyze data
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience using business intelligence reporting tools (Excel, Tableau, Business Objects, Cognos etc.) and AWS big data technologies (Redshift, EMR, S3 etc.)
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
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