Amazon
Business Intelligence Engineer
Amazon, Seattle, Washington, us, 98127
At Amazon, we are working to be the most customer-centric company on Earth. Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates the software, hardware, and processes that run the global network of fulfillment centers, which move billions of units of inventory and ensures customers get what they want when promised. Within AFT, we are constantly innovating in the ways we automate and accelerate the delivery of products and packages, using state of the art software and hardware technologies, while keeping our associates and partners safe. We leverage the latest AWS technologies, big data approaches, and ML to build distributed, highly available systems. We get to work across a diverse set of organizations and stakeholders to achieve our goals.Our Outbound & Flow team is looking for a Business Intelligence Engineer to deliver insights and analysis across our product portfolio. You will own metrics, dashboarding and measurement across platforms and products which help Fulfillment Centers (FCs i.e. Amazon Warehouses) around the world to operate efficiently by automating the flow of customer orders through the FC. These platforms/products optimize the various processes used to fulfill customer orders including picking, packing, shipping and other processes. Your work will directly influence Amazon business and customer promise.Key job responsibilities
Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problemsAnalyze and solve problems at their root, stepping back to understand the broader context.Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadershipIdentify opportunities and key criteria to drive analytical reporting and business strategyProduce written recommendations and insights for key stakeholders that will help shape effective metric development and reportingSimplify and automate reporting, audits, and other data-driven activitiesPartner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insightsDevelop and drive best practices in data integrity, consistency, analysis, validations, and documentationLearn new technology and techniques to meaningfully support product and process innovationMinimum Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with data visualization using Tableau, Quicksight, or similar toolsExperience writing complex SQL queriesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problemsAnalyze and solve problems at their root, stepping back to understand the broader context.Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadershipIdentify opportunities and key criteria to drive analytical reporting and business strategyProduce written recommendations and insights for key stakeholders that will help shape effective metric development and reportingSimplify and automate reporting, audits, and other data-driven activitiesPartner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insightsDevelop and drive best practices in data integrity, consistency, analysis, validations, and documentationLearn new technology and techniques to meaningfully support product and process innovationMinimum Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with data visualization using Tableau, Quicksight, or similar toolsExperience writing complex SQL queriesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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