Amazon
Business Intelligence Engineer, Business Electronics & Vocational (BE&V)
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Business Electronics & Vocational (BE&V)
Come be a part of a rapidly expanding $35 billion dollar global business. Amazon Business is a fast-growing start-up passionate about building innovative solutions and disrupting the status quo. Our job is to develop innovative purchasing and procurement solutions to help businesses and organizations thrive. We strive to be the most recognized and preferred strategic partner for smart business buying.Our team is looking for a high-caliber Business Intelligence Engineer (BIE). The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Category, Technology, and Operations partnerships. This role will impact and inform how Amazon Business and Category teams execute the B2B business and operations across North America Stores. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams, and high ownership to deliver successful results is essential.Key job responsibilities
Create new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.Improve auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.Build insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for category leaders, vendor managers, finance partners, and stakeholder partner teams.Challenge existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.Partner across North America Stores teams as well as Amazon Business teams to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.Develop scalable and automated solutions to support growth in strategic B2B focus areas such as B2B Pricing Accruals and Managed Spend.Scale roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses.Develop a knowledge repository for B2B data intelligence as part of an evolving center of excellence that can be referred to by North America Stores teams.Minimum Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience 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 datasetsMaster's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldAmazon 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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Come be a part of a rapidly expanding $35 billion dollar global business. Amazon Business is a fast-growing start-up passionate about building innovative solutions and disrupting the status quo. Our job is to develop innovative purchasing and procurement solutions to help businesses and organizations thrive. We strive to be the most recognized and preferred strategic partner for smart business buying.Our team is looking for a high-caliber Business Intelligence Engineer (BIE). The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Category, Technology, and Operations partnerships. This role will impact and inform how Amazon Business and Category teams execute the B2B business and operations across North America Stores. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams, and high ownership to deliver successful results is essential.Key job responsibilities
Create new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.Improve auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.Build insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for category leaders, vendor managers, finance partners, and stakeholder partner teams.Challenge existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.Partner across North America Stores teams as well as Amazon Business teams to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.Develop scalable and automated solutions to support growth in strategic B2B focus areas such as B2B Pricing Accruals and Managed Spend.Scale roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses.Develop a knowledge repository for B2B data intelligence as part of an evolving center of excellence that can be referred to by North America Stores teams.Minimum Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience 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 datasetsMaster's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldAmazon 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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