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Key job responsibilities
* Defining architecture, design and implementation of next generation BI products/solutions and data-intensive technology solutions* Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.
* Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.
* Performing data and statistical analysis on oddities in data to help provide high data quality within our modeling ecosystems
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience working with financial data
- Experience designing outlier detection
- Experience with application development in Streamlit
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