Amazon.com is broadly recognized as No. 1 in Customer Service in the US and abroad. At Amazon, we drive innovation and customer obsession into everything we do, and this is especially true in the Customer Engagement Technology (CET) department. CET owns the technology to support and enhance our Customer Service Operations network through our self-service and automation features and various client applications.
Amazon seeks a Business Intelligence Engineer to help promote the adoption of data-backed experimentation and analytics in Customer Service. We are a customer-obsessed team looking for someone who adheres to the highest data quality and governance standards and can provide clear direction when surrounded by ambiguity.
Key job responsibilities
As a Business Intelligence Engineer, you will support an emerging charter to enable experimentation and self-service analytics within Amazon's worldwide Customer Service organization. You will:
- Design experiments for new software features by partnering with Product and Program Management teams
- Define necessary success metrics and build the required data pipelines
- Develop reporting and processes to enable self-service analytics by partnering with a worldwide team of Customer Service leaders
- Introduce cloud technologies (such as AWS) to solve challenging problems related to data warehousing for large datasets, high-availability data visualization, and data self-service
- Design and implement a reporting ecosystem and standards by working closely with technical managers, operations, and business leaders
About the team
The charter of the Business Intelligence team is to enable analytical insights about the usage, performance, and delivery of software. We accomplish this in four ways:
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We publish and maintain the events standard and data enrichment layer used by customers and external partners to understand and describe activities.
- We build and maintain self-service reports to enable users to independently measure performance across standard operational metrics and view the results segmented across common dimensions.
- We enable insights by supporting hypothesis testing and maintaining self-service test-and-learn architectures.
- We enable business decision-making by supporting day-to-day business analytics.- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- 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.
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.
