Growth Data Scientist/Analyst

crypto
London, United Kingdom
On-site
Full-time
Posted 6 months ago
Marketing

Job Description

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.

Requirements

  • Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Engineering, Information Systems, or related fields.
  • 2+ years of experience in data analysis or a related field. Experience in the Crypto and Technology industry is a plus.
  • Proficiency in SQL, Databricks, and Tableau for processing, analyzing, and visualizing large datasets.
  • 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 querying, report writing, and presenting findings.
  • Understanding of digital marketing concepts, such as user acquisition (organic, non-organic, partnerships, etc.), campaign management, and customer lifecycle management.
  • Familiarity with tools like AppsFlyer, Google Tag Manager, Google Analytics, and SensorTower.
  • Strong communication skills to effectively convey complex data insights to non-technical stakeholders and to translate business needs into technical and data requirements.
  • Ability to thrive in a fast-paced environment, manage multiple projects, and adapt to shifting priorities.


Requirements

Requirements

  • Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Engineering, Information Systems, or related fields.
  • 2+ years of experience in data analysis or a related field. Experience in the Crypto and Technology industry is a plus.
  • Proficiency in SQL, Databricks, and Tableau for processing, analyzing, and visualizing large datasets.
  • 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 querying, report writing, and presenting findings.
  • Understanding of digital marketing concepts, such as user acquisition (organic, non-organic, partnerships, etc.), campaign management, and customer lifecycle management.
  • Familiarity with tools like AppsFlyer, Google Tag Manager, Google Analytics, and SensorTower.
  • Strong communication skills to effectively convey complex data insights to non-technical stakeholders and to translate business needs into technical and data requirements.
  • Ability to thrive in a fast-paced environment, manage multiple projects, and adapt to shifting priorities.


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