Business Intelligence Engineer
Business Intelligence Engineer
Posted on :
14-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Are you passionate about working with Amazonscale 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 machinelearning scientists and engineers excite you Science and Analytics team is looking for an experience selfdriven businessintelligence 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 an safe efficient and exciting way. Our team has mature areas and greenfield opportunities. We offer technical autonomy value endtoend ownership and have a strong customerfocused culture.
Come join us as we revolutionize the book industry and deliver an amazing experience to our authors and readers.
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 massivescale data and providing analytic support to scientists product managers engineers using these 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 decisionmaking for critical risk areas.
About the team
Minerva is a crossfunctional team of highly experienced scientists data engineers and software engineers with a critical business mission making revolutionary leaps forward using massivescale data with advanced analytics and machine learning and helping democratize the publishing industry. We build sciencebased systems for marketing and contentdiscovery 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.
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. ttest Chisquared)
Experience with scripting language (e.g. Python Java or R)
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Come join us as we revolutionize the book industry and deliver an amazing experience to our authors and readers.
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 massivescale data and providing analytic support to scientists product managers engineers using these 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 decisionmaking for critical risk areas.
About the team
Minerva is a crossfunctional team of highly experienced scientists data engineers and software engineers with a critical business mission making revolutionary leaps forward using massivescale data with advanced analytics and machine learning and helping democratize the publishing industry. We build sciencebased systems for marketing and contentdiscovery 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.
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. ttest Chisquared)
Experience with scripting language (e.g. Python Java or R)
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
