July 17
• Use data to understand user behavior and make recommendations • Partner with cross-functional teams to provide strategic insights • Support business trends forecasting and model financial impact of new product ideas
• Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, Engineering, Marketing, or MBA • 3+ years of hands-on SQL experience and advanced Excel Skills • Exposure to applied statistics and experience with Python/SPSS/SAS/R • Experience in product analytics supporting digital applications preferred
• Generous Accrued Time Off • Competitive salary • Health insurance coverage • Opportunities for career growth
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