Key job responsibilities
1) Translate business problems into analytical requirements and define expected output3) Create & execute analytical approach to solve the problem inline with stakeholder expectation
4) Strongly leveraging GenAI technologies to solve problems and building solutions
5) Be the domain expert and have knowledge of data availability from various sources.
6) Execute solution with scalable development practices in scripting, write & optimize SQL queries, reporting, data extraction and data visualization.
7) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs for your work
- 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)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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