Have 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 S&OP Placement and Optimization team is for you. We manage the fulfilment of millions of products every week to Amazons customers achieving ontime delivery in a costeffective manner to deliver a smile for our customers.
North America S&OP is looking for a customer focused analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management innovation and execution in last mile delivery. This position will be responsible for playing a key role in our placement and optimization team building out analysis and visualization tools and processes to support the network.
Key job responsibilities Partner with internal stakeholders across multiple teams gathering requirements and delivering complete solutions Partner with Data Engineering and Software Development Engineers to prioritize and define S&OP data and BI development needs Work with inhouse 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 geospatial logistics and transaction data to determine user behavior or delivery process problems and output solid analysis report with recommendation. Develop queries and visualizations for adhoc requests and projects as well as ongoing reporting.
Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field 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 writing complex SQL queries Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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 largescale complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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