Amazon
Description
We are open to hiring candidates to work out of one of the following locations: Remote California | Remote New York | Remote Virginia | Remote Washington. Join us in helping secure Amazon facilities across the globe! Amazon’s Special Programs, Evaluations, Assessments, & Response (SPEAR) Organization is seeking a Business Intelligence Engineer (BIE) for the Data and Analytics (DNA) team to build and support scalable, automated reporting mechanisms that enable customers to make effective, data‑driven decisions and reinforce the overall Rhythm of the Business (RoB). The DNA team serves as a force multiplier to the organization, delivering visibility to strategic planning and operational insights for SPEAR related services.
In this role, the BIE will own and architect scalable solutions across multiple business domains, driving insights through advanced statistical analysis, artificial intelligence (AI) integration, and data visualization techniques. They will lead cross‑functional initiatives to develop and implement sophisticated analytical tools, self‑service platforms, and metrics frameworks that enable data‑driven decision making at scale. The role requires a balance of technical leadership and business partnership, continuously evolving analytical capabilities through emerging technologies and industry best practices.
The position is remotely based and requires approximately 20% international travel.
Key Job Responsibilities
Own end‑to‑end delivery of complex data projects, including stakeholder management, technical implementation, and change management
Develop and implement metrics and advanced analytics frameworks that drive business strategies at senior levels
Architect and implement large‑scale data solutions using multiple technologies (e.g., Redshift, MySQL, Oracle, Python, R)
Identify strategic opportunities for innovation in data analytics, researching and implementing methodologies
Design and drive adoption of self‑service analytics platforms and visualization solutions at scale
Lead cross‑functional initiatives to identify and resolve systemic data quality issues
Set technical standards for ETL/ELT practices across the organization
Mentor others within the organization, foster data excellence, and drive adoption of best practices
Establish governance frameworks and data standards
Lead root cause analysis for critical business issues, delivering insights that shape organizational strategy
Create and maintain technical and process documentation that enables knowledge sharing and scalability
Basic Qualifications
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
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
Bachelor’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Knowledge of advanced Excel skills and familiarity with Tableau or similar BI tools
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, and working with large‑scale, complex datasets in a business environment
Master’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Equal Opportunity Employer Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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In this role, the BIE will own and architect scalable solutions across multiple business domains, driving insights through advanced statistical analysis, artificial intelligence (AI) integration, and data visualization techniques. They will lead cross‑functional initiatives to develop and implement sophisticated analytical tools, self‑service platforms, and metrics frameworks that enable data‑driven decision making at scale. The role requires a balance of technical leadership and business partnership, continuously evolving analytical capabilities through emerging technologies and industry best practices.
The position is remotely based and requires approximately 20% international travel.
Key Job Responsibilities
Own end‑to‑end delivery of complex data projects, including stakeholder management, technical implementation, and change management
Develop and implement metrics and advanced analytics frameworks that drive business strategies at senior levels
Architect and implement large‑scale data solutions using multiple technologies (e.g., Redshift, MySQL, Oracle, Python, R)
Identify strategic opportunities for innovation in data analytics, researching and implementing methodologies
Design and drive adoption of self‑service analytics platforms and visualization solutions at scale
Lead cross‑functional initiatives to identify and resolve systemic data quality issues
Set technical standards for ETL/ELT practices across the organization
Mentor others within the organization, foster data excellence, and drive adoption of best practices
Establish governance frameworks and data standards
Lead root cause analysis for critical business issues, delivering insights that shape organizational strategy
Create and maintain technical and process documentation that enables knowledge sharing and scalability
Basic Qualifications
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
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
Bachelor’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Knowledge of advanced Excel skills and familiarity with Tableau or similar BI tools
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, and working with large‑scale, complex datasets in a business environment
Master’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Equal Opportunity Employer Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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