Data Analyst

Role & Responsibilities:

• Utilize SQL to query, extract, and manipulate large datasets from relational databases to generate insightful reports and analyses.
• Use Python for data analysis, data cleaning, and automation tasks, including libraries like Pandas, NumPy, and Matplotlib.
• Create and maintain interactive dashboards and visualizations using tools like Tableau, Power BI, or similar.
• Conduct statistical analysis to identify trends, patterns, and insights in large datasets.
• Work with business stakeholders to understand data requirements and deliver insights that align with business goals.
• Design and implement ETL processes to streamline data flow and ensure data accuracy and integrity.
• Collaborate with data engineers and other analysts to ensure efficient data pipeline architecture.
• Develop and automate regular reporting processes and ad-hoc analysis to support business needs.
• Monitor data quality and integrity, troubleshoot data issues, and perform data validation.

Key Skills:

• SQL
• Python
• Data Analysis
• Data Visualization