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 Amazons own freight movements. Our freight offerings/portfolio ensures our Customers 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 Sr. 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 wont 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 emphasis on improved metrics productivity and efficiency
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
- 5 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Bachelors Degree
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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