Business Intelligence Engineer, GTPC Tech
DESCRIPTION
Do you want to innovate on a growing platform with Amazon Web Services? Come join our team in AWS and help us design and develop solutions that enable AWS to expand our operations into new data centers worldwide. As a Business Intelligence Engineer (BIE), you will build data products and platforms that will help AWS comply with global trade requirements at scale. You'll design and build data solutions which will influence critical AWS product and trade compliance workflows and help leaders make strategic business decisions.
Key job responsibilities
Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
Build scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision making
Acquire various data sources to enable holistic analysis at a global level
Build various data visualizations to tell the story and let the data speak for itself
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Proactively developing new metrics and studies to quantify customer behavior.
About the team
* Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
* Build scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision making
* Acquire various data sources to enable holistic analysis at a global level
* Build various data visualizations to tell the story and let the data speak for itself
* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
* Proactively developing new metrics and studies to quantify customer behavior.
BASIC QUALIFICATIONS
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
PREFERRED QUALIFICATIONS
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.