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Key job responsibilities
- Build scalable analytics solutions leveraging the defined tech stack
- Optimize and organize data pipelines into the visualization environment
- Collaborate with business users on requirements, objectives and measures
- Access large scale data and use analytical tools- Contribute to data design, data modelling and data extracts/transforms- Own the governance of global areas of data and metrics
- Build and manage Tableau workbooksA day in the life
The BI Engineer will be in charge of building a high performing analytics products relying on the native AWS tech stack, SQL, Quicksight, Tableau, Python. The role will focus on performance optimization and data governance. The BIE will build one of the largest Finance Operations analytics environment on Earth.The role will be savvy at the use of BI tools like Quicksight, Tableau; architect and build the pipeline towards it. The BIE will optimise user experience by creating excellent visualisation performance.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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