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Job Description

We are currently looking for a Senior Data & Revenue Operations Analyst to join our Kijiji Analytics & Revenue Operations team. We are part of the analytics organisation at Kijiji - responsible for analytics, processes, and data infrastructure used to drive focus, productivity, and engagement of Kijiji’s sales & product teams.

What you’ll do: 

  • Translate business questions into analytical projects, providing senior leadership with data-driven insights that guide strategic planning, product development, and process improvements

  • Conduct analyses and test hypotheses to identify areas of opportunities for improvement using both first and third party data sources

  • Provide support and insights by working collaboratively with sales management on defining revenue & sales plans by territory and individual sales representatives

  • Develop and implement predictive models and forecasting methodologies to enhance the organisation's ability to anticipate market trends and customer behaviour

  • Lead the analysis of complex CRM datasets, extracting insights to optimise customer engagement, retention, and acquisition strategies

  • Effectively communicate complex analytical findings & insights to non-technical stakeholders

Who you are: 

  • 3+ years of relevant work experience

  • Proficiency in Google Analytics and digital marketing

  • Highly skilled in querying relational databases (i.e. SQL) and experience in R or Python

  • Experience with writing technical documents or documenting process flows 

  • Experience with data visualisation tools such as Tableau, Looker

  • Experience with SalesForce CRM

  • Bachelor’s degree in engineering, business, or other relevant subject areas


  • Competitive compensation package
  • Opportunity to shape the way we work. Your feedback and opinions are valued at all levels of the organisation
  • Benefits including stock purchase plan and annual bonus plans
  • Flexibility to work when and how you want - flexible hours, autonomy to set your own agenda, choice of phone and computer
  • Smart Working Policy - work remotely some of the time, balanced with time in the office together with your team - between 5 and 45 days per quarter in the office depending on each team.
  • 'Work from anywhere' weeks - up to four weeks working from anywhere, as long as you have an internet connection!
  • Career development, including language classes and Adevinta Academies: specialised content built by our experts on Machine Learning, Agile, Leadership and more