[K-869] | Business Intelligence Engineer, Amzl Eu Bat

Detalles de la oferta

Minimum Qualifications: Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering)1+ years of relevant experience in one of the following areas: Data engineering, business intelligence, or business analyticsHands-on experience in writing complex, highly-optimized SQL queries across large datasets1+ years of experience in scripting languages like Python, Bash, etc.Experience in data modeling, ETL development, and Data warehousingExperience with Oracle, Redshift, etc.Sharp analytical abilities, proven design skills, excellent communication skillsExperience mentoring and training others on complex technical issuesJob Summary: The goal of Amazon Logistics is to build a world-class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered quickly, accurately, and in the most cost-effective way possible. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build a world-class logistics practice, this is your chance to make history.
As a proven senior BI engineer, you will have plenty of opportunities to analyze supply chain, transportation, or financial data in a fast-paced environment, in addition to designing algorithms. You will also engage closely with stakeholders and senior business leaders to gather requirements, prioritize projects, and define the team roadmap. You will conduct deep dive analyses and translate requirements into effective data visualizations and analytical solutions. You'll also need to mentor junior analysts while continuing to operate at a strategic level.
Preferred Qualifications: 3+ years of experience as a Business/Financial Analyst or Systems Analyst in a company with large, complex data sourcesExperience with AWS services including S3, Redshift, EMR, and Apache SparkExperience with software coding practices is a strong plusExperience using Linux/UNIX to process large data sets
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Salario Nominal: A convenir

Fuente: Jobleads

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