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As a Business Intelligence Engineer (BIE) for TQ Analytics, you will play a thought leadership role in defining interventions that help achieve business objectives. You are right, a lot. You are independent, able to work on multiple related projects and always on the lookout to optimize the information flow process. You will collaborate with Scientists and Engineers to analyze trends and analyse statistical models that detect and filter IVT.
Key job responsibilities
Responsibilities* Design, implement and support a scalable and reliable information model for storing, processing, analyzing and reporting on data across Amazon properties and partners.
* Define and implement data quality guardrails and monitoring mechanisms as the custodian of data quality
* Compose and present measurable and actionable insights into complex business problems to senior leadership.
* Automate with every iteration to enable self service by others on the team and to continuously expand on your ability to dive deep.
* Perform exploratory data analysis and apply statistical techniques to help Scientists build models that detect and filter IVT.
* Define and implement metrics that continuously evaluate models.
- 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
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