Are you a data-driven problem solver who thrives on uncovering strategic insights to drive business impact? If so, we have an exciting opportunity for you to join our centralized analytics team within Amazon Advertising as a Business Intelligence Engineer.

As a Business Intelligence Engineer, you will play a pivotal role in building a world-class data and analytics system to support one of Amazon's fastest-growing and most profitable businesses. Sitting in our NYC or Seattle office, you will collaborate with our organization's BI program, driving strategy, roadmap, and execution.

Key job responsibilities
In this role, you will partner closely with product managers, engineers, and scientists to understand business requirements, translate them into technical solutions, and deliver data-driven insights that inform key decisions and product innovations. You will build real-time reports, analytics, and dashboard visualizations that provide user-tailored views of advertising performance metrics, owning the design and implementation of these major deliverables end-to-end.

Leveraging your expertise in business intelligence analytics, reporting, and visualization tools (e.g., Amazon QuickSight, Tableau, Power BI), you will innovate and challenge the status quo to make it easy and efficient for advertisers to engage with our platform, and increase sales. You will collaborate with machine learning teams to develop sophisticated recommendation models and experimentation frameworks.

Ensuring data quality, reliability, and governance across the organization's data ecosystem is another key aspect of your responsibilities. Continuously staying up-to-date with industry trends and best practices, you will implement innovative solutions to enhance the team's data and analytics capabilities.

About the team
Our team is the centralized analytics and insights team for Amazon Ads Demand Tech Experience. At the core of our capabilities is our proprietary analytics system that captures data, enabling us to uncover insights, identify friction points, and optimize the advertiser's experience. We own the analytics pipeline feeding internal dashboards that equip product teams and stakeholders with comprehensive performance visibility, while collaborating closely with ML teams to develop sophisticated recommendation models and experimentation frameworks. If you are passionate about leveraging data to drive business impact and have the skills and experience to excel as a Business Intelligence Engineer, we encourage you to apply for this exciting opportunity.

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

- 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.

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