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Wallet icon Coin icon Rate 6 000 € - 7 200 € / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Information Technology
Location icon Location 100% Remote

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 6 months with the possibility of extension
Period of cooperation 28.09.2026 - 28.02.2027
Start date ASAP or by agreement
Project duration 6 months with the possibility of extension
Period of cooperation 28.09.2026 - 28.02.2027
Start date ASAP or by agreement
Languages
  • English flag English - active, B2/C1/C2

Project description

  • product data analysis
  • video data and influencer data analysis
  • affiliate market and Creator Connections data analysis
  • identification of trends, patterns, and significant changes in data
  • analysis of the development of product categories and individual products
  • evaluation of time trends and changes in market behavior
  • internal business and product analytics
  • preparation of ad-hoc analyses for management and development teams
  • design of an analytical procedure for open business questions
  • obtaining relevant data from ClickHouse
  • verification of data quality, consistency, and relevance
  • interpretation of analytical results and identification of significant insights
  • creation of reports and data analyses for users
  • preparation of data materials for published content and research
  • design of new metrics and methods for utilizing existing data
  • identification of opportunities for data utilization in client products
  • transformation of complex data findings into understandable analytical outputs
  • cooperation takes place in a 100% REMOTE mode

Project requirements

  • min. 4 years of experience with Data Analysis and working with large datasets
  • analytical thinking and ability to work without a precisely defined analytical task
     
  • ability: 
    • independently design an analytical procedure based on an open question
    • search for and select relevant data
    • verify the quality and correctness of the data used
    • identify relevant and unexpected correlations in the data
    • interpret results in a business context
    • translate analytical findings into an understandable story and a concrete conclusion
       
  • experience with:
    • SQL
    • ClickHouse or similar analytical datastore
    • analysis of large data volumes
    • data quality and data validation
    • trend analysis and pattern identification
    • business/product analytics
    • creation of analytical reports and outputs
    • data interpretation and formulation of conclusions
       
  • advantageous experience with:
    • Python
    • e-commerce analytics
    • Amazon marketplace data
    • affiliate marketing data
    • influencer / creator analytics
    • video analytics
    • Creator Connections
    • product research
    • data storytelling
    • BI and visualization tools
    • design of new metrics and analytical models
       
  • independence
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