Job Description :
Job summary
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast Wondered where it came from and how much it cost Amazon If so, the Amazon Global Supply Chain Optimization organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot The Automated Inventory Management team within SCOT seeks an experienced and motivated Business Intelligence Engineer to develop analytical models and tools to automate inventory management. This role is for talented individuals who enjoy the challenge of diving into complex problems and solving the unsolvable to help our executives make impactful business decisions. In the role you will help lead inventory management innovation, define the analytical roadmap, design system improvements to automate worldwide inventory management and identify long term free cash flow opportunities.
Key job responsibilities
Drive business changes through data insights to drive change across a wide range of supply chain inputs that ultimately impact inventory Building analytical products to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions. Partner with Data Engineers and Software Engineers to design products and systems to transform and store billions of data items using the AWS Redshift and other internal tools Explore/analyze data and work with Product Managers to understand customer behaviors, develop complex data pipelines Fostering culture of continuous engineering improvement through mentoring and feedback.
Basic Qualifications :
Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics, Operations Research or related discipline . 5+ years experience as a Data / Business Analyst . Experience processing large scale datasets, analyzing data to solve business problems and presenting impactful insights . Proficiency with data querying or modeling technique with SQL or R . Experience with automated self-service reporting tools . Ability to operate successfully and independently in a fast-paced environment . Strong written and verbal communication skills. The role requires effective communication with colleagues from machine learning, economics and business backgrounds . Be comfortable with ambiguity and curious to learn new skills
Preferred Qualifications :
. Master’s degree in Computer Science, Engineering, Math, Finance, Statistics, Operations Research or related discipline . Experience working with cloud data repository services such as AWS redshift . Experience with statistical analysis, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling . Knowledge and direct experience using business intelligence reporting tools such as Tableau. . Experience incubating and commercializing new ideas, working with product managers, research scientists and technical teams from concept generation through implementation