Data Analyst in the Data Field

Your work will involve: Using various analytical methods and tools (Python, SQL, Qliksense, etc.) to acquire, analyze, and visualize data; Formulating predictions and recommendations as a result of data analysis to solve complex business/customer problems; Acting as a responsible person for the formation of forecasts based on data in teams formed together with the bank's business-oriented departments. The suitable candidate for us: Has a higher technical or economic education; At least 3 years of work experience in the Data field; High-level SQL knowledge (Python is desirable); Experience working with large and complex data sets; At least 1 year of experience in an analytical role in banking, 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 using data analysis results to the audience; Creative thinking and the ability to approach problem solving creatively.