Data Analyst

Key Skills: SQL, Python

Roles and Responsibilities:

• Extract, clean, and prepare data from structured and unstructured sources for analysis.
• Analyze large datasets to identify trends, correlations, and anomalies.
• Develop interactive dashboards and data visualizations using tools such as Power BI, Tableau, or Qlik.
• Conduct exploratory data analysis (EDA) to support key business initiatives.
• Write efficient SQL queries for data extraction, manipulation, and analysis.
• Work closely with business stakeholders to understand requirements and deliver data-driven solutions.
• Present analytical findings and insights through clear reports and visual storytelling.
• Apply statistical techniques and predictive models using Python, R, or SAS (preferred but optional).
• Ensure data quality, consistency, security, and compliance across all analytical outputs.
• Support the development and maintenance of data documentation, best practices, and data governance strategies.

Skills Required:

• Strong proficiency in SQL for data manipulation and querying
• Solid understanding of data analysis, EDA, and visualization techniques
• Experience in working with large datasets and reporting tools
• Knowledge of Python for data analysis and modeling
• Experience with BI tools like Power BI, Tableau, or Qlik
• Exposure to statistical analysis or machine learning techniques

Education : Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.