Amazon
Business Intelligence Engineer
Amazon, Seattle, Washington, us, 98127
Are you passionate about working with Amazon-scale data, analytics, and data science? Do you love bringing data together from diverse systems and sources and working on critical analytics problems for understanding customer behavior and generating actionable insights? Does the idea of partnering with a team of highly experienced machine-learning scientists and engineers excite you? Athena Analytics team is looking for an experienced, self-driven business-intelligence engineer to help us synthesize data into knowledge across a large number of businesses to help independent authors bring their creativity to customers, detect fraudulent and abusive behavior, and democratize content creation in a safe, efficient, and exciting way. Our team has mature areas and green-field opportunities. We offer technical autonomy, value end-to-end ownership, and have a strong customer-focused culture.
We are looking for an experienced, self-driven BIE to help us synthesize data into knowledge for our Comixology business. If you love comics, manga, or graphic novels, and want to harness the power of data to develop a deeper understanding of customer behavior, identify growth opportunities, impact comics shopping & discovery experiences, and influence the business strategy to develop products and features that have a direct impact on the creator and reader experience, this is the role for you!
Key job responsibilities
As a Business Intelligence Engineer at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic support to scientists, product managers, and engineers using this data. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights. You will have ownership of the insights you are building for the business, and will play an integral role in tactical decision-making for critical risk areas.
About the team
Minerva is a cross-functional team of highly experienced scientists, data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk. We also use science to optimize manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business.
Minimum Requirements
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS, and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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We are looking for an experienced, self-driven BIE to help us synthesize data into knowledge for our Comixology business. If you love comics, manga, or graphic novels, and want to harness the power of data to develop a deeper understanding of customer behavior, identify growth opportunities, impact comics shopping & discovery experiences, and influence the business strategy to develop products and features that have a direct impact on the creator and reader experience, this is the role for you!
Key job responsibilities
As a Business Intelligence Engineer at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic support to scientists, product managers, and engineers using this data. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights. You will have ownership of the insights you are building for the business, and will play an integral role in tactical decision-making for critical risk areas.
About the team
Minerva is a cross-functional team of highly experienced scientists, data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk. We also use science to optimize manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business.
Minimum Requirements
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS, and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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