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.
- 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
- 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.
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