Description

  • Data Analysis and Visualization Tools: Proficiency in tools like Tableau and Excel for creating interactive dashboards and reports.
  • Data Manipulation and Scripting: Strong hands-on experience with Python (pandas, NumPy) and SQL for data extraction, transformation, and analysis.
  • Statistical Analysis and Modeling: Knowledge of statistical methods, hypothesis testing, and predictive modeling to derive insights from data.
  • Database Management: Experience with relational databases (Oracle, MySQL) and data warehousing solutions (Snowflake).
  • Domain Knowledge: Strong understanding of trade finance concepts, including letters of credit, supply chain finance, and payment terms.
  • Big Data Tools: Familiarity with big data platforms like Hadoop, Spark, or Google BigQuery for handling large datasets.
  • Communication: Ability to translate complex data insights into actionable business strategies and communicate effectively with stakeholders.
  • Data Governance and Quality: Knowledge of data governance principles, data quality management, and ensuring compliance with regulations.

Key Skills
Education

Any Graduate

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