Amazon.com LLC
Business Intelligence, Business Intel Engineer, ats
BusinessIntelligenceEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer II at Amazon.com LLC. Skills: Business Intelligence, Data Analysis, Data Visualization, ETL. Generate insightful analysis, reporting, and data visualizations. Answer critical business questions”
What You'll Achieve.
Improved metrics; Increased productivity; Increased efficiency
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, 3+ years of analyzing and interpreting data, 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 using SQL to pull data from a database or data warehouse, Scripting experience (Python) to process data for modeling
Nice to Have
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, 5+ years of analyzing and interpreting data, Redshift, Oracle, NoSQL etc. experience, Knowledge of advanced skills in Excel, Familiarity with Tableau preferred, Experience in data mining, ETL, etc., Using databases in a business environment with large-scale, complex datasets, 1+ years of managing, analyzing and communicating results to senior leadership experience
What You'll Do.
Generate insightful analysis
and data visualizations
Answer critical business questions
Proactively identify notable trends
Communicate business performance
Translate data into actionable insights for stakeholders
Proactively identify new areas of opportunity to drive
Apply expertise in data mining and modeling
Leverage multiple data sources to uncover unique insights
Identify key performance drivers
Build predictive models
Work backwards from your end-customer
and execute each work item
Emphasize improved metrics
Recognize and adopt best practices in reporting and
Ensure data integrity
How You'll Work.
Communication Scope
Communicate business performance; Communicate results to senior leadership
Full Job Description
Are you looking to build and scale a new and growing business with Amazon? If so, you might be interested in this role with Amazon Freight. Amazon Freight is a startup business within Amazon focused on developing an industry-leading transportation offering to provide external freight Customers access to the world-class network and freight services currently used to facilitate Amazon’s own freight movements. Our freight offerings/portfolio ensures our Customer’s freight is moved with the highest level of service and quality at a competitive price across multiple modes of transportation, including truckload, less-than-truckload, and intermodal. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services. We are seeking a Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insights for Amazon Freight. Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position. Key job responsibilities - Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance - Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements - Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models - Work backwards from your end-customer to define, design, and execute each work item with an emph
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