Business Intelligence Engineer, Product Analytics – Amazon.com Services LLC – Seattle, WA

• Bachelor’s degree in Computer Science, Mathematics, Information Systems or related field; or equivalent experience
• 5+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments
• 3+ years of experience in data mining and dataset preparation using SQL

At Amazon we strive to be earth’s most customer centric company and data is a foundational component to making this happen. Are you curious about new platforms and technologies and have a desire to deliver world-class customer service? Are you excited by the idea of owning a problem and innovating on behalf of customers? Can you deal with ambiguity and keep up with the pace of a company whose cycles are measured in weeks, not years?

The Device, Digital & Alexa Support (D2AS) team works with some of the fastest growth areas in the company. Amazon introduced the first Kindle in 2007 – since then, we have expanded to become the best-selling e-reader family in the world. We have gone beyond Kindle with our powerhouse Fire tablets, built for work and play with our Fire operating system. For streaming media lovers, we have created Amazon Fire TV, Fire TV Stick, and Fire TV Edition with voice search. Fire TV devices come with access to 500,000 movies, TV shows, and tens of thousands of channels, and apps. In 2014, we introduced Amazon Echo and Alexa, the voice service that powers Echo and other devices so customers can play music, control their smart homes, and get information, news, weather, and more using just their voice. Alexa is now integrated with over 20,000 third party devices from 3,500 brands. Alexa has 50,000 skills and developers in 180 countries.

The Device, Digital and Alexa Support (D2AS) function is

looking for a motivated individual with proven analytical skills and practical experience to join the our Research team as a Business Intelligence Engineer. We’re looking for someone who possesses a solid BI engineering background, building and analyzing data, identifying key business trends, and building the right metrics to measure success criteria. In this role you will play a key role in helping to better understand and map customer experiences, generating novel views of customer behavior and building sophisticated analysis products (customer sentiment, clustering, journey maps etc).

Specific responsibilities include:

• Engage closely with product managers, scientists, and data engineers on developing BI/analytics solutions
• Build and analyze key metrics to uncover trends and root causes of issues.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive business decisions
• Help define analytic direction and develop new data products

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age

• Strong analytic and quantitative skills with experience using data and metrics to test theories, confirm assumptions, and measure success
• Familiarity with Amazon’s cloud infrastructure including EC2, S3 and Redshift
• Experience with data visualization tools such as Tableau/QuickSight
• Knowledge of data mining and statistical modeling
• Experience in ETL developing and implementing large scale complex data flows
• Experience working with a coding language (Ruby/Python/Java/R)
• Strong verbal/written communication and data presentation skills, including the ability to effectively develop and communicate clear, thoughtful, and comprehensive analyses.
• Strong critical thinking skills and attention to detail

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age