Business Intelligence Engineer II Amazon AIR
Business Intelligence Engineer II Amazon AIR
Posted on :
27-04-2025
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1 Vacancy
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Job Description
Do you want to join one of the most exciting teams at the worlds most customercentric company Then come soar with Amazon Global Air (AIR)! AIR is a worldwide customerobsessed transportation provider of choice that safely delivers low cost high quality service. AIR realizes this vision through a talented inclusive and diverse team leveraging innovative technologies and a sustainabilityaware mindset. Our AIR Data Analytics and Business Intelligence teams fuels AIRs success through data driven decisions. We empower AIR business with actionable insights advanced analytics and strategic foresight. By leveraging data as a strategic asset we enable agility uncover new opportunities deliver trusted intelligence and delight our customers.
We are looking for an experienced innovative and strategic Business Intelligence Engineer who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a selfstarter highly analytical and intensely detailed with a strong customer focus and perspective to drive strategy in a highgrowth fastpaced environment.
This role will partner closely with the business teams to understand the dataneeds of the team and ensure that the business teams are able to answer hard questions with real data. This individual will participate in business reviews and newinitiatives. They should be able to identify and help close gaps in the information available as well as predict upandcoming data needs when participating in discussions about new products or features.
Key job responsibilities
Data Collection and Integration:
Gather data from various sources (databases APIs files etc.
Design and implement data integration processes
Ensure data quality and consistency across systems
Data Modeling and Optimization:
Implement ETL (Extract Transform Load) processes
Write complex SQLs to convert raw data to meaningful metrics
Optimize SQLs for improved performance
Report and Dashboard Development:
Design and create reports and dashboards using BI tools (e.g. AWS QuickSight Tableau Power BI Looker)
Develop interactive visualizations to present data effectively
Ensure reports are accurate & userfriendly
Data Analysis:
Conduct exploratory data analysis to uncover insights
Develop and implement statistical models and algorithms
Perform adhoc analysis to answer business questions
Collaboration and Communication:
Work closely with stakeholders to understand business requirements
Translate business needs into technical specifications
Present findings and insights to both technical and nontechnical audiences
Data Governance and Security:
Ensure data security and compliance with regulations
Continuous Improvement:
Stay updated with the latest BI tools and technologies
Automate processes where possible to increase efficiency
Documentation and Training:
Create and maintain documentation for data models processes and reports
Provide training and support to endusers on BI tools and dashboards
Problemsolving:
Troubleshoot data discrepancies and technical issues
Develop solutions to complex datarelated problems
Data Strategy:
Contribute to the organizations overall data strategy
Identify opportunities for leveraging data to drive business value
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 writing complex SQL queries
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Bachelors degree in Computer Science or Engineering
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 largescale complex datasets
Masters degree in Computer Science or Engineering
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are looking for an experienced innovative and strategic Business Intelligence Engineer who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a selfstarter highly analytical and intensely detailed with a strong customer focus and perspective to drive strategy in a highgrowth fastpaced environment.
This role will partner closely with the business teams to understand the dataneeds of the team and ensure that the business teams are able to answer hard questions with real data. This individual will participate in business reviews and newinitiatives. They should be able to identify and help close gaps in the information available as well as predict upandcoming data needs when participating in discussions about new products or features.
Key job responsibilities
Data Collection and Integration:
Gather data from various sources (databases APIs files etc.
Design and implement data integration processes
Ensure data quality and consistency across systems
Data Modeling and Optimization:
Implement ETL (Extract Transform Load) processes
Write complex SQLs to convert raw data to meaningful metrics
Optimize SQLs for improved performance
Report and Dashboard Development:
Design and create reports and dashboards using BI tools (e.g. AWS QuickSight Tableau Power BI Looker)
Develop interactive visualizations to present data effectively
Ensure reports are accurate & userfriendly
Data Analysis:
Conduct exploratory data analysis to uncover insights
Develop and implement statistical models and algorithms
Perform adhoc analysis to answer business questions
Collaboration and Communication:
Work closely with stakeholders to understand business requirements
Translate business needs into technical specifications
Present findings and insights to both technical and nontechnical audiences
Data Governance and Security:
Ensure data security and compliance with regulations
Continuous Improvement:
Stay updated with the latest BI tools and technologies
Automate processes where possible to increase efficiency
Documentation and Training:
Create and maintain documentation for data models processes and reports
Provide training and support to endusers on BI tools and dashboards
Problemsolving:
Troubleshoot data discrepancies and technical issues
Develop solutions to complex datarelated problems
Data Strategy:
Contribute to the organizations overall data strategy
Identify opportunities for leveraging data to drive business value
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 writing complex SQL queries
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Bachelors degree in Computer Science or Engineering
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 largescale complex datasets
Masters degree in Computer Science or Engineering
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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