Location: Remote

Your expertise:

• Degree in Statistics / Mathematics or Finance
• SQL knowledge on a good level
• Good theoretical background in math’s and statistic
• Good understanding of predictive analytics
• Experience building visualizations in Tableau or other similar tools
• Experience working with data received from Google Analytics, AdWords, Facebook, etc.
• Understanding of LTV / CAC, Conversion Rate, Cohort analysis, Retention Rate
• Understanding of digital marketing, especially PPC and SEO fields
• Analytical mindset
• Upper-intermediate English (written and spoken)
• Minimum 3 years of experience on similar position
• Python, R knowledge will be a plus

What’s in it for you? 

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity / paternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Provide Product Pod with deep insights regarding all activities
• Support in decision-making
• Building forecasts and prediction models
• Data analysis to detect the reasons of deviations in the main and secondary metrics
• Help maximize revenue by bringing early attention issues or changes in trends related to our products, business practice, processes, finances, and accounting
• Ensure that data is tracked in the proper manner
• Looking for alternative data sources and tools
• Initiate deep digging analysis
• Create visualizations and presenting them to the stakeholders