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Growth Data Scientist/ Analyst

Crypto.com
United Kingdom
Full time
Hybrid

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

United Kingdom, Western Europe

Company size

Mature [ 50+ employess ]

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We are seeking a dynamic Growth Data Scientist/Analyst to join our Growth team. The successful candidate will leverage data to drive strategic decisions and optimize growth initiatives.

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.

    • Responsibilities

  • Develop and maintain acquisition and engagement dashboards to monitor user growth and campaign effectiveness.
  • Assist in building predictive models to guide strategic decisions on acquisition and engagement.
  • 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.
    • Company
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