Business Intelligence Engineer, GS S&O - Operational Excellence
Amazon
Full-time
On-site
Seattle, Washington, United States
$89,600 - $185,000 USD yearly
We are seeking a talented and experienced Business Intelligence Engineer to join our team. In this role, you will be responsible for developing and implementing data models, data governance frameworks, and interactive dashboards and visualizations to drive data-driven decision-making across the organization. You will work closely with stakeholders to understand their analytical needs and provide self-service analytics and reporting capabilities.
Key job responsibilities
• Develop and maintain data models and schemas for Page0 data, entitlement model data, propensity model data, and other relevant data sources.
• Contribute to the design and implementation of a centralized data warehouse architecture, ensuring scalability, performance, and data integrity.
• Collaborate with data engineers and architects to ensure alignment between data models and the underlying data infrastructure.
• Establish and enforce data governance policies and procedures to maintain data quality, consistency, and integrity for Page0 data, entitlement model data, and propensity model data.
• Implement data quality controls, monitoring, and reporting mechanisms to ensure data accuracy and reliability.
• Continuously monitor data quality, identify issues, and collaborate with relevant teams to implement remediation measures as needed.
• Build interactive dashboards and visualizations to present key metrics and insights for Page0, entitlement models, and propensity models.
• Develop self-service analytics and reporting capabilities, enabling users to explore and analyze data independently.
• Collaborate with business users to understand their analytical requirements and translate them into effective visualizations and reports.
• Conduct enterprise-wide data discovery and profiling to identify potential data sources and understand their characteristics.
• Analyze data sources for relevance, quality, and potential integration into the BI ecosystem.
• Develop comprehensive training materials and documentation for Page0 data, analytics, and reporting tools.
• Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.
• Continuously monitor data quality and optimize data flows to ensure efficient and reliable data delivery.
• Stay up-to-date with emerging BI technologies, tools, and best practices, and propose enhancements or new solutions to improve the organization's BI capabilities.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
- 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
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- Experience writing complex SQL queries
- 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
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 $89,600/year in our lowest geographic market up to $185,000/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.
Key job responsibilities
• Develop and maintain data models and schemas for Page0 data, entitlement model data, propensity model data, and other relevant data sources.
• Contribute to the design and implementation of a centralized data warehouse architecture, ensuring scalability, performance, and data integrity.
• Collaborate with data engineers and architects to ensure alignment between data models and the underlying data infrastructure.
• Establish and enforce data governance policies and procedures to maintain data quality, consistency, and integrity for Page0 data, entitlement model data, and propensity model data.
• Implement data quality controls, monitoring, and reporting mechanisms to ensure data accuracy and reliability.
• Continuously monitor data quality, identify issues, and collaborate with relevant teams to implement remediation measures as needed.
• Build interactive dashboards and visualizations to present key metrics and insights for Page0, entitlement models, and propensity models.
• Develop self-service analytics and reporting capabilities, enabling users to explore and analyze data independently.
• Collaborate with business users to understand their analytical requirements and translate them into effective visualizations and reports.
• Conduct enterprise-wide data discovery and profiling to identify potential data sources and understand their characteristics.
• Analyze data sources for relevance, quality, and potential integration into the BI ecosystem.
• Develop comprehensive training materials and documentation for Page0 data, analytics, and reporting tools.
• Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.
• Continuously monitor data quality and optimize data flows to ensure efficient and reliable data delivery.
• Stay up-to-date with emerging BI technologies, tools, and best practices, and propose enhancements or new solutions to improve the organization's BI capabilities.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
- 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
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- Experience writing complex SQL queries
- 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
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 $89,600/year in our lowest geographic market up to $185,000/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.