Quantitative Research Assistant (Research & Impact) (Remote)

🔍 Key Responsibilities

1. Data Collection & Management

• Design and implement surveys or experiments.

• Collect data from various sources (e.g., surveys, administrative records, datasets).

• Clean, structure, and validate datasets for analysis.

2. Data Analysis

• Conduct statistical analyses using tools like R, Stata, Python, SPSS, or Excel.

• Apply descriptive and inferential statistics to answer research questions.

• Use econometric or modelling techniques if the research is policy- or impact-oriented.

3. Reporting & Visualization

• Create data visualizations (charts, tables, dashboards).

• Draft technical reports, research briefs, and presentations.

• Translate statistical findings into plain language for diverse audiences.

4. Impact Evaluation

• Support or lead impact assessments using methods like:

  • Randomized controlled trials (RCTs)

  • Quasi-experimental designs

  • Regression analysis, difference-in-differences, etc.

• Help measure program effectiveness and provide data-driven insights.

5. Literature Review & Contextual Research

• Review academic literature or program documents.

• Assist in contextualizing quantitative findings within broader research.