We are seeking an analytical, results-oriented, and customer-focused Business Intelligence Engineer to develop business metrics and generate insights that will inform our strategy and user experience. In this role, you will lead complex data initiatives and high-visibility projects, provide actionable insights, and partner with senior stakeholders across the Kindle Experience organization to set the direction for Kindle's data-driven initiatives. Your insights and solutions will drive key decisions affecting millions of readers worldwide.
Key job responsibilities
* Analyze complex data to tell the story of business trends and performance patterns, and outliers through clear documentation and rich visualizations
* Build solutions and data visualizations to effectively communicate business trends and performance patterns
* Lead complex, high-impact data analysis projects to identify opportunities for product and business improvements
* Write high-quality, optimized SQL to retrieve and analyze data from relational databases (e.g., Redshift, MySQL, S3)
* Collaborate with cross-functional teams to design and implement ETL data pipelines for processing billions of records
* Create user-friendly, repeatable reporting solutions and self-service dashboards to minimize ad hoc requests
* Define and develop business-critical metrics, reports, and key performance indicators
* Drive seamless data reporting and insights to enable data-backed decision-making in MBRs/QBRs/OP1 discussions
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
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- Experience with forecasting and statistical analysis
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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.