Data Analyst in the Data Field

Your tasks will include: obtaining, analyzing, and visualizing data using various analytical methods and tools (Python, SQL, Qliksense, etc.); forming forecasts and recommendations based on data analysis to solve complex business/customer problems; acting as the responsible person for forming forecasts in teams developed in collaboration with the bank's business-oriented departments. The suitable candidate for us should have: Higher technical or economic education; At least 3 years of work experience in the Data field; High-level SQL skills (Python is preferred); Experience working with large and complex data sets; At least 1 year of experience in an analytical role in banks, telecommunications, or insurance companies; Experience using visualization tools (Tableau, QlikSense, PowerBI); Strong communication and time management skills; Ability to convey insights in non-technical language based on data analysis results; Ability to think creatively and approach problem-solving in a creative manner.