Business Intelligence Engineer II

Technology, Data & Digital · Data, AI & Analytics · Data Analysis · Data Engineering

In short

Amazon's Science and Analytics team is seeking an experienced Business Intelligence Engineer II to work with large-scale data, generate actionable insights, and support scientists and product managers. The role involves data analysis, visualization, data modeling, and ETL pipeline development using tools like SQL, Python, Tableau, and Redshift.

Responsibilities

Connect with world leaders in your field working on similar problems.
Work with massive-scale data and provide analytic support to scientists, product managers, engineers.
Utilize deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate data into meaningful insights.
Have ownership of the insights you are building for the business.
Play an integral role in tactical decision-making for critical risk areas.
Build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk.
Use science to optimize manufacturing, fulfillment, and quality processes for the Print On Demand (POD) business.

Requirements

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.
Bachelor's 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 visualization using Tableau, Quicksight, or similar tools.
Experience with data modeling, warehousing and building ETL pipelines.
Experience in Statistical Analysis packages such as R, SAS and Matlab.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
Experience using SQL (Structured Query Language) to pull data from a database or data warehouse.
Experience using Python scripting to process data for modeling.

Desired Qualifications

Master's 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.

Benefits

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Skills

SQLTableauQuicksightPythonRSASMatlabRedshiftOracleNoSQLETLData ModelingData WarehousingExcelVBAEC2DynamoDBS3

#data#analytics#data science#customer behavior#insights#machine learning#business intelligence#SQL#Excel#data modeling#ETL#data visualization#AWS#Redshift

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