Data Analyst

Responsibilities:

• Data Collection & Preparation: Collect, clean, and organize data from multiple University sources, ensuring accuracy and consistency.
• Analysis & Reporting: Conduct analysis using statistical techniques to interpret data, generate insights, and produce regular reports for use in institutional decision-making.
• Data Visualization: Create data visualizations that clearly communicate trends and insights to various audiences, utilizing tools such as Excel and Power BI.
• Database Maintenance: Assist in managing data storage and databases, ensuring the integrity and accessibility of key institutional data.
• Collaboration & Support: Work closely with Institutional Research, Strategic Planning, and other University departments to understand data needs and provide relevant insights.
• Documentation: Maintain documentation on methods, data sources, and findings to ensure transparency and reproducibility.

Key Skills:

• Data Visualization.
• Data Cleaning.
• Python.
• SQL and NoSQL.
• Machine Learning.
• Linear Algebra and Calculus.