• 5+ years of SQL experience
• Knowledge of data warehousing and data modeling
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience working directly with business stakeholders to translate between data and business needs

Want to help people around the world read more and get more out of reading? Our mission is to make Kindle a magical piece of paper that is the world’s favorite way to read. We set audacious goals and are looking for a Sr. Business Intelligence Engineer who can help us reach and exceed them. 

Reader Analytics team is responsible for providing actionable insights and data products to empower stakeholders to monitor and assess performance of their product areas and support their roadmap. This position will partner with teams across the Kindle Experience organization to improve reporting frameworks and data visualization, articulate insights using data, identify instrumentation gaps, and build metrics and business cases to improve decision making. You can expect to leverage your analytical skills and have full ownership of your projects. 

The ideal candidate will have excellent statistical and analytical abilities, outstanding business acumen, and strong storytelling skills. They are a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems, and parse actionable insights. 

Key job responsibilities 
 

• Lead complex and ambiguous data analysis projects to identify opportunities for improvement and optimization
• Design and conduct analysis with a high bar to provide timely insights, recommendation on business strategies and tech solutions
• Break down large projects into smaller deliveries, while identifying and tackling items on critical path
• Write high quality, optimized and reproducible SQL to retrieve and analyze data from relational databases (ex. Redshift, MySQL, S3)
• Mentor and guide junior team members in data analysis, coding best practices, and process improvement methodologies
• Work closely with product managers, engineers to build ETLs for clean and scalable data sources required for analytics and reporting
• Employ AWS technologies to increase team efficiency and BI capabilities
• Drive seamless data/reporting and insights to enable data backed decision making, and drive leadership clarity around business metrics by enabling MBRs/QBRs/OP1 discussions
• Assist in the development and execution of strategic initiatives and analytical roadmaps

A day in the life 
 

• Work with stakeholders to understand and design analytical solutions on major projects
• Seek opportunities to streamline existing process and automate for efficiency
• Attend team standup to go over existing

development, blockers and help troubleshoot issues 
 

• Continue to adopt new technologies that benefit business

We are open to hiring candidates to work out of one of the following locations: 

San Francisco, CA, USA | Seattle, WA, USA 

 

• Experience managing, analyzing and communicating results to senior leadership
• Master's degree in statistics, data science, or an equivalent quantitative field

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.