Job Roles & Responsibilities:

• Clean, validate, and maintain large and diverse datasets from various public and private sector sources.
• Develop data models and conduct statistical analyses to extract trends and actionable insights.
• Assist in developing interactive dashboards and reports for internal and public consumption.
• Contribute to research briefs and policy reports through quantitative input and visualization.
• Use programming tools such as Python (pandas, NumPy, scikit-learn), R, or SQL.
• Support data governance activities including documentation of data dictionaries, metadata, and data quality standards.
• Stay current on data privacy best practices and ensure all data processing aligns with relevant ethical guidelines.

Qualifications Required:

• Bachelor’s or master’s student in Data Science, Statistics, Computer Science, Economics, or a related field.
• Proficient in data analysis and visualization tools (Python, R, Excel, SQL).

Skill Sets Required:

• Strong understanding of statistical methods and modeling techniques.
• Excellent soft skills including communication skills to interpret and present complex data to non-technical audiences.