Informacje o stanowisku

technologies-expected :

• SQL
• Python
• Streamlit
• Tableau

• PostgreSQL
• MongoDB
• Databricks
• Docker

• Collaborate with business stakeholders to gather requirements for dashboards, reports, and metrics, ensuring alignment with strategic goals.
• Analyze financial and operational data to identify actionable insights and support key business decisions.
• Develop and maintain efficient SQL queries and Python scripts for processing and analyzing large-scale financial datasets.
• Design, build, and optimize data visualization dashboards using tools such as Streamlit, Tableau, or similar BI platforms.
• Partner with the Data Engineer to create effective ETL pipelines for data integration and transformation.
• Develop, implement, and manage data models to support financial reporting and forecasting.
• Conduct exploratory data analysis (EDA) to uncover trends and identify opportunities within financial and operational datasets.

• Bachelor’s, Master’s, or PhD in Data Analytics, Data Science, Computer Science, Finance, or a related field.
• 4+ years of experience in data analytics and engineering.
• Proficiency in SQL and Python, with a focus on large-scale financial datasets.
• Hands-on experience with data visualization tools like Streamlit, Tableau, or other BI platforms.
• Strong expertise in financial data analysis and reporting.
• Familiarity with both relational and NoSQL databases, such as PostgreSQL and MongoDB.
• Experience with tools like Databricks and Docker for data processing and deployment.
• Excellent communication skills, with the ability to present technical findings as actionable business insights.
• Proven ability to work effectively with cross-functional teams and stakeholders.
• English (C1)

• sharing the costs of sports activities
• private medical care
• life insurance

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