Systems Admin, Global Data Analytics (GDA)
Systems Admin, Global Data Analytics (GDA)
Posted on :
14-08-2025
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1 Vacancy
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Job Description
Are you an experienced Business Intelligence Engineer or Systems Admin interested in an opportunity to help drive Amazons flywheel and develop your A to Z business understanding Do you enjoy learning about different businesses while driving innovation in the data and analytics space
Amazon Finance Operations (FinOps) is looking for a highly skillful Systems Admin to be part of the Global Data & Analytics Team (GDA). As a professional at Amazon FinOps you will directly impact business outcome and have the opportunity to work on some of the worlds largest data sets influence the long-term evolution of our data analytics capability and help build data driven operational activities in ever changing business environments.
The candidate is expected to possess industry best practices for building reporting solutions. The candidate is expected to have background in the AWS technology stack (S3 Glue IAM Redshift) and must have extensive experience with all standard data warehousing technical components (e.g. ETL Reporting and Data Modelling) infrastructure (hardware and software) and its integration writing optimized SQL queries excellent problem-solving ability. Written and verbal communication skills are required as the candidate will work very closely with a diverse global team. Ability to create and manage work plans timelines and accommodate multiple priorities is required.
This is a technical lead role responsible to design implement and scale: (1) Security and Governance to protect sensitive data define access controls ensuring compliance with regulatory requirements (2) Permissions strategy (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks and (4) DevOps and ML Ops. The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams.
Key job responsibilities
- Optimize and organize data pipelines into the visualization environment (QuickSight); contribute to data design data modelling and data extracts/transforms.
- Build and manage ML pipelines adapting CI/CD practices model deployment orchestration.
- Work on the governance foundations of the analytics environment for the GDA team.
- Define technical requirements for Data Engineering teams.
- Review technical work of other team members provide improvement advice.
- Provide input and recommendations on technical issues for the Data Engineering team.
- Work in a genuinely global environment.
About the team
Global Data Analytics (GDA) empowers the worlds largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes through advanced data capabilities and real time actionable insights. GDAs mission is As trusted and business-focused analytics partners we provide timely data analytics and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes.
- Bachelors degree in Computer Science Engineering Math Finance or related discipline.
- Professional experience working with large data sets and writing complex SQL queries to pull data.
- Relevant experience in a BI Engineer or Systems Admin role.
- Python mastery.
- Understanding of DevOps and ML Ops Concepts version control CI/CD pipelines testing and monitoring infrastructure automation.
- Ability to display complex quantitative data in a simple intuitive format and to present findings in a clear and concise manner.
- Excellent communication (verbal and written) and interpersonal skills.
- Data engineering credentials.
- Advanced analytical skills and is detail-oriented while also seeing and understanding the big picture.
- Experience working with cloud database technologies such as Amazon Redshift RDS or Azure DW.
- UI and UX design experience.
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.
Amazon Finance Operations (FinOps) is looking for a highly skillful Systems Admin to be part of the Global Data & Analytics Team (GDA). As a professional at Amazon FinOps you will directly impact business outcome and have the opportunity to work on some of the worlds largest data sets influence the long-term evolution of our data analytics capability and help build data driven operational activities in ever changing business environments.
The candidate is expected to possess industry best practices for building reporting solutions. The candidate is expected to have background in the AWS technology stack (S3 Glue IAM Redshift) and must have extensive experience with all standard data warehousing technical components (e.g. ETL Reporting and Data Modelling) infrastructure (hardware and software) and its integration writing optimized SQL queries excellent problem-solving ability. Written and verbal communication skills are required as the candidate will work very closely with a diverse global team. Ability to create and manage work plans timelines and accommodate multiple priorities is required.
This is a technical lead role responsible to design implement and scale: (1) Security and Governance to protect sensitive data define access controls ensuring compliance with regulatory requirements (2) Permissions strategy (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks and (4) DevOps and ML Ops. The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams.
Key job responsibilities
- Optimize and organize data pipelines into the visualization environment (QuickSight); contribute to data design data modelling and data extracts/transforms.
- Build and manage ML pipelines adapting CI/CD practices model deployment orchestration.
- Work on the governance foundations of the analytics environment for the GDA team.
- Define technical requirements for Data Engineering teams.
- Review technical work of other team members provide improvement advice.
- Provide input and recommendations on technical issues for the Data Engineering team.
- Work in a genuinely global environment.
About the team
Global Data Analytics (GDA) empowers the worlds largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes through advanced data capabilities and real time actionable insights. GDAs mission is As trusted and business-focused analytics partners we provide timely data analytics and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes.
- Bachelors degree in Computer Science Engineering Math Finance or related discipline.
- Professional experience working with large data sets and writing complex SQL queries to pull data.
- Relevant experience in a BI Engineer or Systems Admin role.
- Python mastery.
- Understanding of DevOps and ML Ops Concepts version control CI/CD pipelines testing and monitoring infrastructure automation.
- Ability to display complex quantitative data in a simple intuitive format and to present findings in a clear and concise manner.
- Excellent communication (verbal and written) and interpersonal skills.
- Data engineering credentials.
- Advanced analytical skills and is detail-oriented while also seeing and understanding the big picture.
- Experience working with cloud database technologies such as Amazon Redshift RDS or Azure DW.
- UI and UX design experience.
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.
Required Experience:
Exec
Employment Type
Full-Time
Key Skills
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