Address
Form of work
SalaryJob Description
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptional people. Amazon is seeking a Senior Business Intelligence Engineer to join the Global Procurement Excellence (GPE), Business Intelligence (BI) team.
GPE is part of the Global Procurement Organization (GPO). It is the single channel for Amazon globally that creates, delivers and maintains core procurement capabilities while executing best-in-class S2P policies, processes and digital solutions. The pillar drives efficiency, control & compliance and delivers a user and supplier centric procurement experience consistently across teams, businesses and regions. BI enables metric-driven capabilities for the Procurement leaders through secure, performant, scalable & sustainable reporting & analysis products. We make the data speak. Providing Amazon-standard customer experience is in our core. We build trust with leaders and provide analysis they need and we do that on a timely and top-quality manner.
Having actionable analytics is part of our culture and we insist on timely, accurate, scalable and actionable Business Intelligence. A Senior Business Intelligence Engineer should be able to cope with a fast pace environment, work on multiple deliverables and in parallel, be comfortable with prioritizing efficiently and communicating progress and blockers in an effective manner.
Key job responsibilities
• Manage a portfolio of BI solutions related to supplier risk and performance management, work with multiple stakeholders and communicate effectively progress and blockers with the project team and sponsors. Identify high impact business problems and present written recommendations on solutions that will drive the future of EU Ops Procurement
• Design and own processes that are customer centric and will improve the operational efficiency.
• Develop ETL jobs and analytical layers that require in depth knowledge in scripting and OLAP concepts (Data Marts, Data Cubes, Python-Based Data Analysis Layer etc.).
• Implement metadata management and follow core data governance practices
• Develop visualizations that are fast and easy to comprehend.
• Adopt existing best practices or contribute to improving them; solution design, development, validation and documentation practices.
A day in the life
A Senior Business Intelligence Engineer manages requirements from a large group of customers, understands how they operate and is able to build solutions that return the right strategic value back to the organization. Improves the way that customers interact with data and analytics. Works cross functionally, interacting with other tech and non-tech teams globally to align on requirements and solutions. Develops and maintains strong networks and partnerships across organizations, builds trusted relationships. Keeps customers and stakeholders up to date. Innovates in data engineering, analysis, statistics and visualization.
About the team
GPE BI enables metric-driven capabilities for the Procurement leaders through secure, performant, scalable & sustainable reporting & analysis products. We make the data speak. Providing Amazon-standard customer experience is in our core. We build trust with leaders and provide analysis they need and we do that on a timely and top-quality manner.
We are open to hiring candidates to work out of one of the following locations:
London, GBR
BASIC QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs
- Knowledge of data warehousing and data modeling
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience building measures and metrics, and developing reporting solutions
PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- PhD in statistics, data science, or an equivalent quantitative field
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:).
GPE is part of the Global Procurement Organization (GPO). It is the single channel for Amazon globally that creates, delivers and maintains core procurement capabilities while executing best-in-class S2P policies, processes and digital solutions. The pillar drives efficiency, control & compliance and delivers a user and supplier centric procurement experience consistently across teams, businesses and regions. BI enables metric-driven capabilities for the Procurement leaders through secure, performant, scalable & sustainable reporting & analysis products. We make the data speak. Providing Amazon-standard customer experience is in our core. We build trust with leaders and provide analysis they need and we do that on a timely and top-quality manner.
Having actionable analytics is part of our culture and we insist on timely, accurate, scalable and actionable Business Intelligence. A Senior Business Intelligence Engineer should be able to cope with a fast pace environment, work on multiple deliverables and in parallel, be comfortable with prioritizing efficiently and communicating progress and blockers in an effective manner.
Key job responsibilities
• Manage a portfolio of BI solutions related to supplier risk and performance management, work with multiple stakeholders and communicate effectively progress and blockers with the project team and sponsors. Identify high impact business problems and present written recommendations on solutions that will drive the future of EU Ops Procurement
• Design and own processes that are customer centric and will improve the operational efficiency.
• Develop ETL jobs and analytical layers that require in depth knowledge in scripting and OLAP concepts (Data Marts, Data Cubes, Python-Based Data Analysis Layer etc.).
• Implement metadata management and follow core data governance practices
• Develop visualizations that are fast and easy to comprehend.
• Adopt existing best practices or contribute to improving them; solution design, development, validation and documentation practices.
A day in the life
A Senior Business Intelligence Engineer manages requirements from a large group of customers, understands how they operate and is able to build solutions that return the right strategic value back to the organization. Improves the way that customers interact with data and analytics. Works cross functionally, interacting with other tech and non-tech teams globally to align on requirements and solutions. Develops and maintains strong networks and partnerships across organizations, builds trusted relationships. Keeps customers and stakeholders up to date. Innovates in data engineering, analysis, statistics and visualization.
About the team
GPE BI enables metric-driven capabilities for the Procurement leaders through secure, performant, scalable & sustainable reporting & analysis products. We make the data speak. Providing Amazon-standard customer experience is in our core. We build trust with leaders and provide analysis they need and we do that on a timely and top-quality manner.
We are open to hiring candidates to work out of one of the following locations:
London, GBR
BASIC QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs
- Knowledge of data warehousing and data modeling
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience building measures and metrics, and developing reporting solutions
PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- PhD in statistics, data science, or an equivalent quantitative field
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:).
