Business Intelligence Engineer, Athena Science & Analytics (Minerva)

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 Minerva Science and Analytics team is looking for an experience 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 an 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.

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 massive-scale 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 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.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 2 years of Tableau Desktop Quicksight or other relevant data visualization software experience
- Bachelors degree or above in business administration finance economics computer science data science engineering or other related field or 2 years of Amazon RME (BB/3P) Full Time Exempt experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

- Masters degree or above in BI finance engineering statistics computer science mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level including: pivot tables macros index/match vlookup VBA data links etc.
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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