Join us in creating the next generation Alexa devices!!
As a Business Intelligence Engineer , you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Alexa Trust. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our Development Engineers, Scientists, Product Managers and Executive Leadership with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies. You will partner with business leaders to drive strategy and prioritize projects and feature sets. You will also write and review business cases and drive the development process from design to release.
If this sounds like a team that you want to be a part of, we want you to apply NOW!
Key job responsibilities
- knowledgeable in a variety of strategies for querying, processing, persisting, analyzing and presenting data. You are proficient in SQL/ETL/Visualisation tools/Datawarehouse
- Work effectively with customers (e.g., business teams, Data Scientists, etc.) and other internal partners to ensure deliverables meet the needs of the business and team goals.
- Troubleshoot, research root causes, propose solutions which are scalable and maintainable
A day in the life
- Working in a fun and fast paced environment, with a team of very talented professionals
- Putting together Business Metrics and evaluating anomalies
- Trouble shooting and performing root cause analysis for challenging issues
- Collaborating with other job famillies like Development team members, applied scientists, data scientists, ops and Product Managers
About the team
Alexa sensitive content intelligence team enables Alexa to provide policy compliant experiences to the customer. We employ multiple AI models and work closely with a team of talented scientists and engineers.
- 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
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