Proficiency in data analysis tools and software, such as Excel, SQL, Python, R, Power Bi
Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive insights.
Knowledge of statistical methods and techniques for data analysis.
Familiarity with data visualization tools and techniques.
Understanding of database concepts and proficiency in querying languages like SQL.
Strong attention to detail and the ability to ensure data accuracy and quality.
Effective communication skills to present findings and insights to both technical and non-technical stakeholders.
Business acumen and the ability to understand and translate business requirements into data analysis tasks.