Amazon
Business Intelligence Engineer, Amazon Logistics
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Amazon Logistics
Job ID: 2768743 | Amazon.com Services LLCHave you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the Worldwide (WW) Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.Amazon Logistics is looking for a smart and ambitious individual to develop and support Amazon Logistics business intelligence and operations reporting and management systems. Amazon Logistics is a large, rapidly growing package delivery operation that handles packages for Amazon and our customers with worldwide operations.The potential candidate will support analysis, improvement, and creation of metrics and dashboards on Amazon Logistics and Transportation by Amazon. In addition, she/he will work with internal customers at all levels of the organization – Operations, Customer service, HR, Technology, Operational Research, Health & Safety, Loss & Prevention. The potential candidate will enjoy the challenges and rewards of working in a fast-growing organization and a very international environment.As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have 3-4 years of experience in handling a team of at least 6 Business Intelligence Engineers. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.Above all, you should be passionate about bringing large datasets together to answer business questions and drive change.Key job responsibilities
Partner with internal stakeholders across multiple teams, gathering requirements and delivering end-to-end solutions.Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs.Work with in-house scientists, global supply chain, transportation, and logistics teams to identify new BI capabilities and projects.Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).Analyze and visualize large-scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendations.Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.BASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.Experience with data visualization using Tableau, Quicksight, or similar tools.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.PREFERRED QUALIFICATIONS
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.
#J-18808-Ljbffr
Job ID: 2768743 | Amazon.com Services LLCHave you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the Worldwide (WW) Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.Amazon Logistics is looking for a smart and ambitious individual to develop and support Amazon Logistics business intelligence and operations reporting and management systems. Amazon Logistics is a large, rapidly growing package delivery operation that handles packages for Amazon and our customers with worldwide operations.The potential candidate will support analysis, improvement, and creation of metrics and dashboards on Amazon Logistics and Transportation by Amazon. In addition, she/he will work with internal customers at all levels of the organization – Operations, Customer service, HR, Technology, Operational Research, Health & Safety, Loss & Prevention. The potential candidate will enjoy the challenges and rewards of working in a fast-growing organization and a very international environment.As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have 3-4 years of experience in handling a team of at least 6 Business Intelligence Engineers. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.Above all, you should be passionate about bringing large datasets together to answer business questions and drive change.Key job responsibilities
Partner with internal stakeholders across multiple teams, gathering requirements and delivering end-to-end solutions.Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs.Work with in-house scientists, global supply chain, transportation, and logistics teams to identify new BI capabilities and projects.Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).Analyze and visualize large-scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendations.Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.BASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.Experience with data visualization using Tableau, Quicksight, or similar tools.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.PREFERRED QUALIFICATIONS
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.
#J-18808-Ljbffr