Amazon
Senior Business Intelligence Engineer, Automated Inventory Management
Amazon, Seattle, Washington, us, 98127
Senior Business Intelligence Engineer, Automated Inventory Management
Job ID: 2750776 | Amazon.com Services LLCAmazon’s Inventory Planning team is looking for experienced business intelligence engineers (BIEs) to identify and develop strategic initiatives to form our next generation inventory planning processes. The charter of the Supply Chain Optimization Technology group is to maximize the return on our inventory investment in terms of Free Cash Flow and customer satisfaction. We accomplish this through the determination of how much inventory Amazon needs to stock of each SKU in each of its fulfillment centers. This puts the Inventory Planning group at the nexus of operations, logistics, capacity planning, and our retail business teams.
As a Business Intelligence Engineer, you would be responsible for representing the US based Inventory Planning team to the retail and financial teams in the different Worldwide Regions where Amazon has a presence. This will entail coordinating inventory management use case analysis, automation system process rollout, and Sales and Operations Planning systems use case analysis and rollout.
You will help lead inventory management innovation and define SCOT’s product roadmap. You will work with the local retail organizations and supply chain operations teams, in-house scientists, Product Managers, and software teams to identify new features and projects. You will analyze the potential customer and financial impacts, select the most promising ideas, prioritize them, and create a cohesive roadmap that integrates them into our platform. You will also evangelize new features to our clients, working to accelerate feature adoption, track the realized impacts, and communicate results with the local senior leadership.
This is a highly visible role that requires partnering with WW Retail, Finance, and Operations teams to impact Amazon’s bottom line. You must have the experience and capability to prepare documentation for senior executives and align your roadmap with Amazon’s strategic objectives. Excellent written and verbal communication skills are a necessity. Successful candidates should excel at diving into data in order to analyze root causes and implement simple, long term solutions. They will thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world’s most flexible and effective supply chain management technology.BASIC QUALIFICATIONS
- 5+ years of SQL experience- 5+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results- Knowledge of data warehousing and data modelingPREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadershipAmazon 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: 2750776 | Amazon.com Services LLCAmazon’s Inventory Planning team is looking for experienced business intelligence engineers (BIEs) to identify and develop strategic initiatives to form our next generation inventory planning processes. The charter of the Supply Chain Optimization Technology group is to maximize the return on our inventory investment in terms of Free Cash Flow and customer satisfaction. We accomplish this through the determination of how much inventory Amazon needs to stock of each SKU in each of its fulfillment centers. This puts the Inventory Planning group at the nexus of operations, logistics, capacity planning, and our retail business teams.
As a Business Intelligence Engineer, you would be responsible for representing the US based Inventory Planning team to the retail and financial teams in the different Worldwide Regions where Amazon has a presence. This will entail coordinating inventory management use case analysis, automation system process rollout, and Sales and Operations Planning systems use case analysis and rollout.
You will help lead inventory management innovation and define SCOT’s product roadmap. You will work with the local retail organizations and supply chain operations teams, in-house scientists, Product Managers, and software teams to identify new features and projects. You will analyze the potential customer and financial impacts, select the most promising ideas, prioritize them, and create a cohesive roadmap that integrates them into our platform. You will also evangelize new features to our clients, working to accelerate feature adoption, track the realized impacts, and communicate results with the local senior leadership.
This is a highly visible role that requires partnering with WW Retail, Finance, and Operations teams to impact Amazon’s bottom line. You must have the experience and capability to prepare documentation for senior executives and align your roadmap with Amazon’s strategic objectives. Excellent written and verbal communication skills are a necessity. Successful candidates should excel at diving into data in order to analyze root causes and implement simple, long term solutions. They will thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world’s most flexible and effective supply chain management technology.BASIC QUALIFICATIONS
- 5+ years of SQL experience- 5+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results- Knowledge of data warehousing and data modelingPREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadershipAmazon 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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