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Description

Amazon is seeking an exceptional BI Engineer to join the BuilderWorks organization. This person will own the production and delivery of reports, dashboards, and analyses to support key initiatives across the organization.

Successful attributes include the ability to be an effective communicator to various audiences, the capacity to remain flexible and adept at learning new tools, and the ability to implement new systems within a team atmosphere. Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals who are comfortable interacting with multiple teams (business and technical).

Key job responsibilities

• Design and implement BI solutions to transform data into actionable insights for Senior Leadership

• Build and optimize data models, ETL pipelines, and complex queries using various technologies (SQL, Python, Redshift, Oracle, NoSQL)

• Create scalable visualization tools and dashboards

• Drive operational excellence for data ingestion, transformation and publication to ensure data accuracy and timeliness.

• Partner with cross-functional teams (Product, Finance, Operations) to solve complex business problems

• Collaborate with business customers and stakeholders to understand and document business requirements

• Manage and execute entire projects from requirements gathering to final implementation

• Create and maintain KPIs aligned with business goals and track performance metrics

• Leverage Generative AI technologies to develop intelligent Q&A systems and automated insight generation

• Create and maintain AI-powered analytics solutions to provide real-time business insights

About the team

Our team is a central analytics team within the BuilderWorks organization. We seek to amplify and accelerate application of data science and generative AI within BuilderWorks engineering systems as well as deliver actionable metrics, insights, and reports to BW service owners, CCI owners, and various stakeholders.

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.