Senior Product Analyst (offline)
β 2+ years experience working as a Product or Data Analyst
β Experience with Google Analytics, GTM
β Knowledge of statistics fundamentals and experimental design. Understanding of both statistics and regression methods
β Experience with data visualization tools, BI techniques (Power BI/ Tableau)
β Full proficiency in SQL and Excel
β Analytical mindset, ability to structure information and dive deeper when it is needed
β Experience in delivering analytical solutions for complex product-related tasks (user pattern research, supporting experiments, feature analysis to improve the product metrics, use-cases analysis, etc.)
β Driven by creating business value than the complexity of the technical solution
β Experience with A/B and Multivariate testing techniques and measurements
β Solid knowledge of key product metrics, experience in building funnels and making recommendations based on them
β Experience with Python for data analysis (Pandas, Numpy, etc.)
β Experience in creating churn and LTV prediction models
β Strong knowledge and extensive experience in the usage of SQL
Will be a plus if it is also about you:
β Background in market research and data analysis
β Business analytics (P&L understanding)
You will be responsible for:
β Providing analytical support to our marketing team
β Research and conclude on results of A/B tests and provide insights for improvement
β Automate entire analytics process and create dashboards for different stakeholders
β Operational monitoring of key metrics and determining the causes of deviations from the expected values
β Build predictive models for user behavior
β Build predictive models for Marketing
β Build predictive models for LTV
Our team values:
β Result orientation: we set ambitious goals, take on complex tasks and successfully cope with them
β Flexibility: the ability to think out of the box and change our strategies depending on market conditions
β Teamwork: we have the common goal, we do not shift responsibility to others and overcome challenges together
β Striving for development: we are constantly learning new things and evolving together
Employee benefits:
β Comfortable office within walking distance of the metro station
β Flexible schedule: 8-hour working day, opportunity to work remotely several days per week
β 20 working days of paid vacation, 15 days of paid sick leave
β Medical insurance - 100% coverage
β Free lunches, fruits, sweets
β Educational opportunities: English courses, specialized courses
β Competitive salary and regular performance reviews
β Corporate events, team buildings and gifting for major life events
β Relocation package (support with moving, one-time bonus)
Hiring stages:
β CV check
β Short phone screen (up to 10 min)
β HR interview: up to 1 hour
β Interview with the Hiring team
β Test task (if applicable)
β Reference check
β Job offer
The job ad is no longer active
Job unpublished on
1 December 2021
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