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.