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Key job responsibilities- Generating complex queries to dive deep on process issues
A day in the life
- 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
- Bachelor's degree in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience
- Expert SQL skills and proficiency in Python/R
- Experience using data to create insight, drive business decisions and influence leadership
- 2+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment
- 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
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