Bachelor’s degree or above in Data Analytics, Business Analytics, Statistics, Economics, Mathematics, Computer Science, Finance, or a related discipline.
Strong analytical, quantitative, and problem-solving skills.
Solid understanding of data analysis, business metrics, and decision-making principles.
Proficiency in Excel and data visualization tools; knowledge of SQL, Python, or similar analytical tools is a plus.
Ability to interpret large and complex datasets and identify meaningful business insights.
Strong communication and presentation skills, with the ability to explain analytical findings clearly.
Structured thinking with strong attention to detail and a business-oriented mindset.
Ability to translate business questions into analytical approaches and actionable recommendations.
Strong organizational skills, curiosity, and a continuous improvement mindset.