Amazon
BI Engineer I, Data Analytics, Global Data Analytics (GDA), Finance Operations
Amazon, Seattle, Washington, us, 98127
BI Engineer I, Data Analytics, Global Data Analytics (GDA), Finance Operations
The Business Intelligence Engineer will own a high-visibility, growth in a dynamic, entrepreneurial analytics team. We are seeking an exceptionally talented and deeply focused BI Engineer with outstanding analytical skills who build some of the largest reporting objects in the Accounts Receivable and Accounts Payable BI space, contribute to business outcomes by analytics while also providing support engineering services to our managed BI Tools (Tableau & Quicksight). This is a unique early-stage opportunity to build one of the largest Finance Operations BI environments of present day. The role holder will build their know-how rapidly and thrive in Amazon's high paced, Day 1 culture.
Key job responsibilities:Build scalable analytics solutions leveraging the defined tech stack.Optimize and organize data pipelines into the visualization environment.Collaborate with business users on requirements, objectives and measures.Access large scale data and use analytical tools.Provide input and recommendations on technical issues to data engineering and software engineering teams.Contribute to data design, data modelling and data extracts/transforms.Work in a genuinely global environment, across various functional teams.Own the governance of global areas of data and metrics.Build and manage Tableau workbooks.
A day in the life:The BI Engineer will be in charge of building a high performing analytics products relying on the native AWS tech stack, SQL, Quicksight, Tableau, Python. The role will focus on performance optimization and data governance. The BIE will drive the development of reporting and analytics across the global portfolio of businesses and processes; and produce data, reports and analyses for decision making, metrics management and more.
The role will be savvy at the use of BI tools like Quicksight, Tableau; architect and build the pipeline towards it. The BIE will optimise user experience by creating excellent visualisation performance.
About the team:Global Data Analytics (GDA) is in charge of building single source of truth (SSOT) for all data, metrics and analytics for Accounts Receivable and Accounts Payable functions in Amazon, across all B2B business lines of Amazon, globally. GDA's mission is to drive a world class Order-to-Cash and Procure to Pay cycles by providing timely data, insights and predictions to our leadership and operations teams. In close cooperation with our stakeholders, we agree and build uniform metrics; use data from a ‘single source of truth’; provide automated, self-service, standard reporting; and build predictive analytics. Our topmost ambition is to actively contribute to the improvement of Amazon's Free Cash Flow by value-adding analytics. Our success is built on users' trust in our data and the reliability of our analytics tools.
BASIC QUALIFICATIONS
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.Experience with data visualization using Tableau, Quicksight, or similar tools.Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).Experience with scripting language (e.g., Python, Java, or R).
PREFERRED QUALIFICATIONS
Knowledge of data modeling and data pipeline design.Experience with statistical analysis, co-relation analysis.
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The Business Intelligence Engineer will own a high-visibility, growth in a dynamic, entrepreneurial analytics team. We are seeking an exceptionally talented and deeply focused BI Engineer with outstanding analytical skills who build some of the largest reporting objects in the Accounts Receivable and Accounts Payable BI space, contribute to business outcomes by analytics while also providing support engineering services to our managed BI Tools (Tableau & Quicksight). This is a unique early-stage opportunity to build one of the largest Finance Operations BI environments of present day. The role holder will build their know-how rapidly and thrive in Amazon's high paced, Day 1 culture.
Key job responsibilities:Build scalable analytics solutions leveraging the defined tech stack.Optimize and organize data pipelines into the visualization environment.Collaborate with business users on requirements, objectives and measures.Access large scale data and use analytical tools.Provide input and recommendations on technical issues to data engineering and software engineering teams.Contribute to data design, data modelling and data extracts/transforms.Work in a genuinely global environment, across various functional teams.Own the governance of global areas of data and metrics.Build and manage Tableau workbooks.
A day in the life:The BI Engineer will be in charge of building a high performing analytics products relying on the native AWS tech stack, SQL, Quicksight, Tableau, Python. The role will focus on performance optimization and data governance. The BIE will drive the development of reporting and analytics across the global portfolio of businesses and processes; and produce data, reports and analyses for decision making, metrics management and more.
The role will be savvy at the use of BI tools like Quicksight, Tableau; architect and build the pipeline towards it. The BIE will optimise user experience by creating excellent visualisation performance.
About the team:Global Data Analytics (GDA) is in charge of building single source of truth (SSOT) for all data, metrics and analytics for Accounts Receivable and Accounts Payable functions in Amazon, across all B2B business lines of Amazon, globally. GDA's mission is to drive a world class Order-to-Cash and Procure to Pay cycles by providing timely data, insights and predictions to our leadership and operations teams. In close cooperation with our stakeholders, we agree and build uniform metrics; use data from a ‘single source of truth’; provide automated, self-service, standard reporting; and build predictive analytics. Our topmost ambition is to actively contribute to the improvement of Amazon's Free Cash Flow by value-adding analytics. Our success is built on users' trust in our data and the reliability of our analytics tools.
BASIC QUALIFICATIONS
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.Experience with data visualization using Tableau, Quicksight, or similar tools.Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).Experience with scripting language (e.g., Python, Java, or R).
PREFERRED QUALIFICATIONS
Knowledge of data modeling and data pipeline design.Experience with statistical analysis, co-relation analysis.
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