Data Analyst

About the role

Identify business problems and propose data-driven solutions to support decision-making and growth Retrieve, clean, prepare, and analyze complex datasets from multiple sources Design and implement analyses using statistical methods and data models Develop reports, dashboards, and visualizations following best practices (Tableau, Power BI) Build automated tools and solutions to deliver recurring insights efficiently Contribute to data feed industrialization, ETL pipelines, and data warehousing processes Translate business requirements into technical specifications for the development team Communicate complex analytical results clearly to both technical and non-technical stakeholders Collaborate closely with traders, sales teams, business sponsors, and technical teams Academic background in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field Professional experience with data visualization tools such as Tableau and/or Power BI Professional experience in data analysis using programming languages, preferably Python (Pandas) Strong ability to analyze, synthesize, and simplify complex information Knowledge of descriptive statistics and hypothesis testing is a plus Familiarity with Big Data technologies such as PySpark, Presto, and Airflow is a plus Knowledge of Power Query and DAX is a plus Fluent in English

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Company Intel

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