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Key job responsibilities
• Collaborate with recruiting operations, data scientists, and business leaders to define business processes and provide analytical support
• Leverage code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems
• Build scalable, efficient, and automated data processes to facilitate customer-facing reporting
• Automate TA processes to streamline business operations
• Communicate verbally or in writing to business customers / leadership to sharing insights and recommendations
- 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
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