Senior Data Analyst in TalentIn

International company ** Avanta ** is engaged in product development in very different and complex categories - Dating, Education, Mental Health. The main project - the Meetville application has been on the market for 10 years. A multimillion audience and a huge database. We are looking for a strong ** Data Analyst ** who can cope with big data dating directions and help new products grow into independent profitable businesses. ** Requirements: ** * work experience from 3 years; * knowledge of SQL and Python / R; * analysis and experience in calculating product metrics; * work with analytics tools (Amplitude, Mixpanel, Firebase, etc.); * use of visualization in Data Studio or Tableau; * good knowledge of Excel (pivot tables, formulas); * Ability to work with tools for marketing analysis (Appsflyer, Google Analytics, Facebook Pixel, Google Adwords, etc.); * the ability to analyze data, draw conclusions and effectively communicate them to the team, suggesting the necessary changes. ** It will be a plus: ** * Experience in solving Machine Learning tasks; * experience with product analytics of mobile applications; * experience in a managerial position. ** Tasks: ** * team building together with company leaders for business purposes; * optimization of the use of analytics tools, taking into account the key needs of the Product and Marketing teams; * creation of monitoring dashboards for key metrics; * preparation of ad hoc reports for product and marketing project teams; * participation in the formation of processes of interaction with other departments; * Formation of strategic tasks for analytics with project teams; * monitoring and analysis of key metrics (research into the causes of growth and falls); * setting up analytics systems and adding new data (events, segments, funnels); * assistance in solving problems in the following areas: marketing automation, image content analysis, scam prediction, etc. ** The company offers ** * reasonable freedom in decision-making, absence of bureaucracy and toxic management; * work with big data and the ability to influence product decisions and processes; * support and collaboration with other departments.