Amazon
Business Intelligence Engineer, Transportation Planning, North America Transport
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Transportation Planning, North America Transportation Planning
Job ID: 2752451 | Amazon.com Services LLCAre you excited about how information insights can bring value to our transportation team? We are looking for a self-driven, insightful, results-oriented Business Intelligence Engineer to join the North America Transportation team. Our team mission is to drive improvements to customer experience, performance, and cost across Amazon’s transportation systems, from initial delivery promise to final delivery to our customers. This is a tremendous opportunity for Business Intelligence Engineers who want to develop new and innovative ways of interacting with and interpreting business key performance indicators, and shape the future of Amazon Transportation systems.
Key job responsibilities
Work with business program owners to build data sets, reports, dashboards, and other products that answer their specific business questions.Create, support, improve, and deep dive transportation metrics to provide actionable insights related to delivery cost and customer experience. This will require data gathering and analysis, partnering with external teams, synthesis and modeling, problem solving, and communication of insights and recommendations.Develop scalable and self-serve analytical and visualization solutions to identify anomalies and support team projects. This will involve creating and maintaining reports and dashboards using tools such as SQL, AWS Redshift/S3, Tableau, QuickSight, Shiny, R, and Amazon Metrics.Perform ad hoc deep dives to understand drivers for transportation issues and opportunities, as well as support North American and Global transportation teams with special projects.Collaborate with data engineers/scientists and other business intelligence engineers to design data architecture and implement data pipelines to automate manual solutions.Develop a deep understanding of Amazon’s supply chain and AWS’s vast data sources and tools.
BASIC QUALIFICATIONS
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.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).BS in Computer Science, Operations Research, Industrial Engineering, Mathematics/Applied Mathematics, Economics/Applied Economics or in another quantitative and engineering field.Knowledge of how to improve code quality and optimize BI processes (e.g. speed, cost, reliability).Advanced SQL knowledge and good understanding of data warehousing concepts.Demonstrated ability to quickly analyze large data sets to identify complex patterns and relationships resulting in operational insights and actionable projects.
PREFERRED QUALIFICATIONS
Knowledge of data modeling and data pipeline design.Experience with statistical analysis, co-relation analysis.
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.
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Job ID: 2752451 | Amazon.com Services LLCAre you excited about how information insights can bring value to our transportation team? We are looking for a self-driven, insightful, results-oriented Business Intelligence Engineer to join the North America Transportation team. Our team mission is to drive improvements to customer experience, performance, and cost across Amazon’s transportation systems, from initial delivery promise to final delivery to our customers. This is a tremendous opportunity for Business Intelligence Engineers who want to develop new and innovative ways of interacting with and interpreting business key performance indicators, and shape the future of Amazon Transportation systems.
Key job responsibilities
Work with business program owners to build data sets, reports, dashboards, and other products that answer their specific business questions.Create, support, improve, and deep dive transportation metrics to provide actionable insights related to delivery cost and customer experience. This will require data gathering and analysis, partnering with external teams, synthesis and modeling, problem solving, and communication of insights and recommendations.Develop scalable and self-serve analytical and visualization solutions to identify anomalies and support team projects. This will involve creating and maintaining reports and dashboards using tools such as SQL, AWS Redshift/S3, Tableau, QuickSight, Shiny, R, and Amazon Metrics.Perform ad hoc deep dives to understand drivers for transportation issues and opportunities, as well as support North American and Global transportation teams with special projects.Collaborate with data engineers/scientists and other business intelligence engineers to design data architecture and implement data pipelines to automate manual solutions.Develop a deep understanding of Amazon’s supply chain and AWS’s vast data sources and tools.
BASIC QUALIFICATIONS
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.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).BS in Computer Science, Operations Research, Industrial Engineering, Mathematics/Applied Mathematics, Economics/Applied Economics or in another quantitative and engineering field.Knowledge of how to improve code quality and optimize BI processes (e.g. speed, cost, reliability).Advanced SQL knowledge and good understanding of data warehousing concepts.Demonstrated ability to quickly analyze large data sets to identify complex patterns and relationships resulting in operational insights and actionable projects.
PREFERRED QUALIFICATIONS
Knowledge of data modeling and data pipeline design.Experience with statistical analysis, co-relation analysis.
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.
#J-18808-Ljbffr