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Data analyst

  • Full-time
  • Mogo Eastern Europe
  • Latvia


Mogo Finance offers affordable secured car loans in a quick and easy way. Headquartered in Riga, Latvia, the company operates in more than 15 countries through its own branch network, over 1500 partner locations and strong online presence. Strategic priorities of Mogo Finance are focused on consistent profitable growth. Achievement of this strategy is fueled by more than 800 talented team members and over 100 000 loyal customers as well as investments in advanced technologies to deliver the best-in-class financial services.


Mogo Finance currently operates in the Baltics, Eastern Europe, the Balkans, the Caucasus, Central Asia and Africa. Additional information is available at

The Mission for Data Analyst: support Mogo Eastern Europe by analysing and drawing conclusions from wide range of data to ensure effective data-based decisions to increase company's profitability.


  • Deliver qualitative and timely business data analysis for different departments of Mogo Eastern Europe
  • Ensure high quality reporting and data analysis
  • Support business decisions regarding lending strategy and other operational processes
  • Support business process automation tasks
  • Prepare regular and Ad-hoc reports by combining the financial and non-financial information
  • In-depth business data knowledge and becoming a trusted adviser regarding data warehouse
  • Develop strategy, tools and reports for regular business data analysis


  • Higher education in economics, mathematics and/or finance related field
  • Perfect Excel knowledge
  • Very good SQL knowledge, R knowledge is an advantage
  • Ability to self-manage, prioritize, and work under pressure
  • Good presentation and information organizing skills
  • Fluency in English
  • Personality that is able to take ownership and be solution oriented & flexible
  • Previous experience in credit risks will be as advantage


  • Salary: 1600 - 2100 EUR Gross
  • Professional team – be with the best of the best
  • Personal growth – Risk Data Analyst is the starting point to become Loan Portfolio Manager
  • No bureaucracy – implement your ideas next day
  • Health insurance from day 1 
  • Paid parking