Data lead

  • Full-time
  • Mogo Car Finance
  • Latvia


Mogo Finance Group, keeping car financing business as predominant, also utilizes consumer lending in selective markets. Recognizing the niche underserved by traditional lenders, Mogo Finance provides financial inclusion and disruptively changes the used car and consumer financing industry across 14 countries. Group companies operate a multi-channel fintech approach through its own branch network, more than 2,000 partner locations and a strong online presence. Established in 2012, with headquarters in Riga, Latvia, Mogo Finance operates in Baltics and Central, Eastern and South-Eastern Europe, Caucasus and Central Asia as well as Eastern Africa. Find more:


The mission for Data Lead: Manage all things related to data in Mogo Group and support regional HUBs. This includes managing BI team of 3 seniors’ developers, implementing data development strategy and successfully managing all the stakeholder’s expectations.

Expected outcomes:

  • To build analytical data layer for the most critical business areas (e.g., payments, debt collections performance, applications funnel etc)
  • Revisit existing platform for operational reports and improve the set up
  • Automate some parts of financial reporting (P&L, BS, CF etc)
  • Revisit existing management information system and improve the set up to meet the business goal: fast, accurate, transparent, reliable analytical KPIs are available for the teams to run the business more efficiently
  • Jointly with IT and the team improve  data infrastructure
  • Align KPI definitions across different regional teams (HUBs)
  • Continued development of reports requested by the business (HUBs)
  • Manage Business Intelligence (BI) sprints, control quality of business requirements documentation and speed of execution
  • Support engineers in the communication with internal customers; produce release notes
  • Ensure  proper communication between BI team and HUBs
  • Manage, lead, develop, and inspire the team


  • Relevant technical experience in data mining / BI (any tool) (3+ years)
  • Experience in ETL, DWH processes
  • Experience in leading technical teams
  • Analytical mindset and strong technical knowledge
  • Strong communication skills and experience of managing different stakeholders (management, external, cross functional)
  • Technical education will be considered as advantage


  • Professional team – be with the best of the best
  • International environment
  • Salary range: 3000 - 4000 EUR /gross
  • Yearly bonus system based on personal achievements and company results
  • Personal growth – doors are open - your career path is in your hands
  • No bureaucracy – implement your ideas next day
  • Health insurance from day 1
  • Private gym access
  • Paid parking
  • Flexible working hours