Business Intelligence Engineer, IT PnD Data & Analytics (DnA)

Do you enjoy translating data into actionable insights Are you excited by the opportunity to troubleshoot features and products at the worlds most customer-centric company Are you passionate about mining data developing models using statistical and visualization techniques and helping leaders make data-driven decisions Do you want to be a part of a fast-paced ambiguous environment and contribute to one of the most visited sites on the Internet

At Amazon we hire the best minds in technology to innovate on behalf of our customers. The focus we have on our customers is why we are one of the worlds most beloved brands customer obsession is part of our company DNA. Business intelligence Engineers use innovative technology to solve complex problems and get to see the impact of their work first-hand.

NOTE: By applying to this position your application may be considered for all Business Intelligence Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle Bellevue Redmond) Greater Bay Area (San Francisco Sunnyvale Santa Clara) Greater DMV (DC MD VA) Austin (TX) New York City (NY) Minneapolis (MN).

Key job responsibilities
As a Business Intelligence Engineer you will/may:
- Build small- to mid-size business intelligence (BI) solutions data sets queries reports dashboards analyses or components of larger solutions to answer business questions with data
- Use well-defined requirements to build a solution that enables effective data-driven business decisions. Deliver end product on schedule
- Create and populate data structures using one or more schema definition languages (e.g. DDL SDL XSD RDF)
- Write secure stable testable and maintainable code with minimal defects and automate manual processes where possible
- Use one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and as needed statistical methods (e.g. t-test Chi-squared) to deliver actionable insights to stakeholders
- Invent refine and develop BI solutions to ensure they meet the needs of the business and team goals
- Troubleshoot data analyses and code research root causes propose solutions and take ownership in next steps for their resolutions

A day in the life
The challenges Business Intelligence Engineers solve for at Amazon are big and impact millions of customers sellers and products around the world. Our path is not always simple so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon someone who is excited by the idea of creating new products features and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks not years.

Were on the lookout for the curious those who think big and want to define the world of tomorrow.

At Amazon you will grow into the high impact individual you know youre ready to be. Every day will be filled with exciting new challenges developing new skills and achieving personal growth.

How often can you say that your work changes the world At Amazon youll say it often. Join us and define tomorrow.

- 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 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

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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.

The base salary range for this position is listed below. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.

CAN BC Vancouver - 76400.00 - 127600.00 CAD annually