Senior Product Analyst (offline)
- 2+ years experience working as a Product or Data Analyst
- Experience with Google Analytics, GTM
- Knowledge of statistics fundamentals and experimental design. - Understanding of both statistics and regression methods
- Experience with data visualization tools, BI techniques (Power BI/ Tableau)
- Full proficiency in SQL and Excel
- Analytical mindset, ability to structure information and dive deeper when it is needed
- 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.)
- Driven by creating business value than the complexity of the technical solution
- Experience with A/B and Multivariate testing techniques and measurements
- Solid knowledge of key product metrics, experience in building funnels and making recommendations based on them
- Experience with Python for data analysis (Pandas, Numpy, etc.)
- Experience in creating churn and LTV prediction models
- Strong knowledge and extensive experience in the usage of SQL
Will be a plus if it is also about you:
- Background in market research and data analysis
- Business analytics (P&L understanding)
You will be responsible for:
- Providing analytical support to our marketing team
- Research and conclude on results of A/B tests and provide insights for improvement
- Automate entire analytics process and create dashboards for different stakeholders
- Operational monitoring of key metrics and determining the causes of deviations from the expected values
- Build predictive models for user behavior
- Build predictive models for Marketing
- Build predictive models for LTV
Our team values:
- Result orientation: we set ambitious goals, take on complex tasks and successfully cope with them
- Flexibility: the ability to think out of the box and change our strategies depending on market conditions
- Teamwork: we have the common goal, we do not shift responsibility to others and overcome challenges together
- Striving for development: we are constantly learning new things and evolving together
- Employee benefits:
- Comfortable office within walking distance of the metro station
- Flexible schedule: 8-hour working day, opportunity to work remotely several days per week
- 20 working days of paid vacation, 15 days of paid sick leave
- Medical insurance - 100% coverage
- Free lunches, fruits, sweets
- Educational opportunities: English courses, specialized courses
- Competitive salary and regular performance reviews
- Corporate events, team buildings and gifting for major life events
- Relocation package (support with moving, one-time bonus)
Hiring stages:
- CV check
- Short phone screen (up to 10 min)
- HR interview: up to 1 hour
- Interview with the Hiring team
- Test task (if applicable)
- Reference check
- Job offer
The job ad is no longer active
Job unpublished on
25 January 2022
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