Amazon Business Intelligence Engineer II Worldwide Installments 

United States, Virginia 

472724869

As a BIE within WW Installments, you will help advance our analytical capabilities and drive the roadmap for our key pillars. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights.
Key job responsibilities
This role will be responsible for:
• Applying your deep analytic and business skill to extract meaningful insights from large, complicated datasets.
• Own key executive reports and metrics that are consumed by our VPs and Directors.
• Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and/or scripting.
• Partner with fellow Business Intelligence Eningeers/Analysts to implement scalable, automated infrastructure for data extraction, processing, computation, and delivery.
• Work closely with software engineering, data engineering and product management to deliver features to customers.
• Identifying new opportunities to influence business strategy and product vision using data.
• Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications.
• Learn new technology and techniques to support product and process innovation.
• Work through significant business and technical ambiguity delivering on analytics roadmap across the team with autonomy.

- 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