The role involves identifying business problems and proposing data-driven solutions to support organizational decision-making. The individual will retrieve, clean, and prepare complex datasets while designing analyses using statistical methods and data models. Responsibilities include developing reports, dashboards, and visualizations to present findings effectively. The position requires building automated tools and contributing to the development of ETL pipelines and data warehousing processes. Furthermore, the role entails translating business requirements into technical specifications and communicating analytical results to various stakeholders. Collaboration with traders, sales teams, and technical departments is essential to ensure project success.

Candidates must possess an academic background in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field. Professional experience with data visualization tools like Tableau or Power BI is required, alongside proficiency in data analysis using Python and Pandas. The role demands a strong ability to analyze and simplify complex information. Additionally, candidates must be fluent in English.