Responsibilities:

• Design and implement data collection systems for high-quality data management.
• Conduct exploratory data analysis (EDA) to identify trends and insights.
• Develop and apply statistical models and machine learning techniques to solve business problems.
• Create and maintain interactive dashboards and data visualizations.
• Generate comprehensive reports summarizing analytical findings and recommendations.
• Collaborate with cross-functional teams to identify and pursue data-driven opportunities for improvement.
• Mentor and guide junior analysts in best practices for data analysis.
• Stay updated on industry trends, tools, and best practices in data analytics.

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• 5+ years of experience in data analysis.
• Strong analytical skills with expertise in SQL, Python, and data visualization tools.
• Solid understanding of statistical methodologies and data governance principles.
• Excellent communication and problem-solving abilities.
• Attention to detail and accuracy in analysis and reporting.