Amazon
Job Overview
Business Intelligence Engineer, SPEAR role at Amazon. Remote: California, New York, Virginia, Washington. This position is remotely based and requires international travel amounting to approximately 20% to ensure the delivery of this team’s mission. 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 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 skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) Preferred Qualifications
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 Equal Opportunity Statement
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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Business Intelligence Engineer, SPEAR role at Amazon. Remote: California, New York, Virginia, Washington. This position is remotely based and requires international travel amounting to approximately 20% to ensure the delivery of this team’s mission. 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 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 skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) Preferred Qualifications
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 Equal Opportunity Statement
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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