Data Analyst

You will

• Work on developing the company’s product: conduct exploratory analysis — put forward hypotheses, select metrics, and conduct research and experiments necessary for implementing product changes.
• Develop regular reporting tools: customer scoring and operational reports on the effectiveness of different areas.
• Identify patterns of use of the system and growth opportunities.
• Design, run, and analyze A/B-test results.
• Develop tools for marketing analytics: build acquisition funnels and segment users; combine web analytics and internal storage data to evaluate marketing effectiveness; perform cohort analysis.
• Collect requirements and present complex research results in an accessible language that is understandable to business.

Requirements

• You know SQL well and have working experience with modern analytics platforms, preferably Tableau, but Power BI or Qlik is also possible.
• You have experience with version control systems, preferably Git.
• You know Python — you can get and process data, conduct analytics in Jupyter, and visualize results using popular libraries.
• You have sufficient knowledge of mathematical statistics to design and interpret A/B tests.
• You have at least two years of experience in product or marketing analytics.

Nice to have:

• Experience using simple ML models (linear, decision trees).
• Experience in creating simple Airflow DAGs.
• Experience in writing technical specifications for Data Engineers.

What we offer

• Health insurance.
• Quarterly and annual bonuses.
• Five additional day-offs per year.
• Languages classes compensation.
• Opportunities for professional trainings and conferences.
• Sport compensation.
• Сafeteria benefit system where you can choose which benefits would fit your individual.