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 work in a global product company with millions of active users
Opportunity to contribute to meaningful internal products and capabilities that have direct business impact
Competitive compensation depending on experience and skills
Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
“You build it, you own it” mentality in most contexts
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
truly flexible schedule, no time-tracking at all
25 working days of vacation
5 days of paid sick leave per month (if necessary) without providing a medical certificate
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
About the company and project:
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Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.
Performance Analyst will become a member of a professional and motivated team. Our main goal is to transform data into knowledge. Performance Analyst will work closely with the Product Team and will help with data analysis, finding patterns, looking for hidden correlations, assist in managing the pricing policy.
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