- Relevant applied work experience in quantitative analysis of at least 6-8 years
• Ability to work with large amounts of data from disparate sources: collecting, consolidating, analyzing, and synthesizing
• Strong problem-solving skills
• Hands-on experience and in-depth technical knowledge of SQL programming
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• Hands-on experience with a self-serve BI tool (Tableau or others)
• Experience with extracting and modeling datasets with database queries and environment (Hadoop/Spark)
• Experience with programming languages (e.g. Python, Java)
• Experience in managing agile implementation cycles and roll-outs
• Self-motivated, proactive, get-things-done team member who lives to improve data quality and drive results
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