Mathematical or technical higher education, knowledge, experience in applying the methods of mathematical statistics and probability theory Understand product and marketing metrics (LTV, CPA, Retention, CR, etc.) Proficient in data extraction, processing, analysis and visualization tools (MS SQL, Python, Excel) Product thinking: can think about the product in terms of user metrics, sees user behavior behind the metrics Systems thinking: can think from the general to the specific and vice versa Critical thinking: questions the nature of data / decisions and proposals made, doubts and does cross-checks Effective communication: Storytelling - uses numbers and references in argumentation, can explain complex things in simple language, Conclusions are structured and contain a call to action with an assessment of the effect, Agrees with colleagues, presents and defends the results of analytics Independence and responsibility: does not wait for tasks from the manager, but look for growth points yourself, are responsible for the result and bring the task to completion B2 and higher proficiency in English