Responsibilities
- 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.
Requirements
- 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.
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