We are seeking a dynamic Growth Data Scientist/Analyst to join our Growth team. The successful candidate will be instrumental in leveraging data to drive strategic decisions, optimize growth initiatives, and enhance user acquisition strategies.
- Develop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, , paid acquisition etc.) dashboards to monitor user growth and campaign effectiveness
- Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems
- Analyze data to derive actionable insights that drive business decisions and performance improvements
- Automate repetitive tasks and data processes to enhance team efficiency
- Collaborate with cross-functional teams to support data-driven decisions and project implementations
- Engage in continuous learning to stay ahead of industry trends and leverage new tools and techniques in data analysis
- Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, or related fields
- Up to 3 years of experience in data analysis or a related field. Experience in the crypto industry is a plus
- Familiarity with User Acquisition (UA) and/or Customer Relationship Management (CRM) concepts is advantageous
- Proficiency in SQL and familiarity with data visualization tools like Tableau
- Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing, and presenting findings
- Knowledge of acquisition campaign platforms and tools such as Appsflyer, SensorTower, or similar platforms
- Excellent verbal and written communication skills
Key Skills
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- Posted
- Apr 08, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- United States
- Company
- Crypto.com
Industries
Categories
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