Data Analyst (offline)

About you:

- 1.5+ years of experience in a Data Analysis
- Ability to structure information and dive deeper when it is needed
- Experience with data visualization tools and/or BI tools (Tableau, Power BI is a plus)
- Solid knowledge of key product metrics, experience in building funnels and making recommendations based on them
- Experience with SQL (Clickhouse is a plus)
- Programming experience in Python / R
- English — Upper-Intermediate or higher

Will be a plus if it is also about you:

- Experience with ML/DL algorithms
- Experience in feature selection, transfer learning
- Mathematical or computer science background

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

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