Overview

Responsibilities:
  • Analyze data using data mining techniques (Classification, Clustering, Regression, Anomaly or outlier detection)
  • Make behavioral research and predict cardholders spending behavior
  • Prepare comprehensive reports for the stakeholders to understand the data-analysis steps, enable them to make strategic decisions based on various facts and trends
  • Manipulate, analyze, and interpret trends and patterns in large and complex data sets
  • Analyze local and global trends in payment industry
  • Create interactive dashboards
Required Qualifications:
  • Bachelor’s degree in Mathematics, Computer Science, Economics, or Statistics (Master’s degree will be considered as a plus)
  • At least three years of recent experience in analytics and research
  • Good knowledge of programming languages like R or Python
  • Knowledge of quantitative and qualitative research methodologies
  • Excellent knowledge of Microsoft Office (Excel, PowerPoint)
  • Experience with Tableau or other BI software
  • Fluency in Armenian, English, and Russian languages
  • Excellent critical thinking skills
  • Strong willingness to learn
  • Excellent teamwork and communication skills
Note:

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