Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems The Pricing and Analytics group on Amazon Retail Operations and Initiatives team is looking for a talented Business Intelligence Engineer to drive world-class analysis and guide strategic business decisions.
At Amazon you will be working in one of the worlds largest and most complex data environments. The Business Intelligence Engineer occupies a unique role at the intersection of business technology finance statistics data mining and Supply-Chain science.
To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling. In this role you will have ownership of end-to-end development of reports and solutions to complex questions and youll play an integral role in strategic decision-making.
Key job responsibilities
- Gather data and perform sophisticated analytical exercises
- Employ data mining segmentation and other analytical techniques to capture important trends and create relevant measurement dashboards
- Drive standardization simplification and automation of internal processes and data products
- Manage weekly and monthly business reporting and create relevant measurement dashboards
- Work with various stakeholders to understand business drivers goals and actionable outcomes using analytics
- Manage databases and work with technology teams to develop systems to support business intelligence needs
A day in the life
The successful candidate will be comfortable with advanced SQL query design and data mining techniques have strong analytical and communication skills and have a passion for using data to drive business decisions. You attack complex business questions with data and curiosity diving below the surface to identify the root cause. You develop strong working relationships with business partners (such as Amazon Pricing Supply-Chain and Vendor Management teams) to define and understand key business questions and analyze data to answer those questions driving strategic business decisions.
About the team
Our team manages Pricing strategies deep dive reporting and optimization across a very large assortment of products spanning Electronics Auto Sports Home Furniture Tools Toys Pets & Office products.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. 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
- Bachelors degree
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.