4. Tools and Technologies: Utilize statistical tools and programming languages (e.g., Python, R, Sql) for model building and data analysis. Employ visualization tools (Power BI) to create dashboards and reports. Stay updated on advancements in advance sql methodologies and tools. Key Skills & Competencies: Strong expertise in sql for statistical modeling, econometrics, and predictive analytics. Proficiency in programming languages  Python, R) and statistical packages. Hands-on experience with data manipulation and visualization tools. Solid understanding of marketing strategies, campaign execution, and key performance metrics. Strong problem-solving skills with a focus on actionable insights. Excellent communication skills, both written and verbal, to present complex findings clearly.