Quantitative Data Collection Tools Development:

• Design and test data collection tools for surveys and monitoring.
• Ensure tools align with study objectives and are user-friendly.
• Train teams on tool usage and provide technical support.

Data Management:

• Maintain efficient data storage and organization systems.
• Oversee data cleaning, validation, and quality assurance.
• Standardize data formats and ensure data security.

Data Analysis:

• Conduct statistical analyses using STATA or R.
• Explore trends, perform advanced modeling, and support study design.
• Provide actionable insights and predictive models.

Reporting and Interpretation:

• Interpret and present analytical results clearly.
• Create visualizations, reports, and manuscripts for diverse audiences.

Collaboration and Capacity Building:

• Work with interdisciplinary teams and train on data tools and analysis.
• Participate in study design and organizational alignment activities.

Ethics and Compliance:

• Adhere to ethical research guidelines and data privacy standards.
• Ensure compliance with regulatory and funding requirements.

Continuous Learning:

• Stay updated on new methodologies and tools.
• Recommend and implement process improvements.

Minimum Requirements:

• Education: Master’s degree or higher in public health, statistics, data science, biostatistics, demography, or related field with quantitative methods.
• Experience: At least 3 years in public health, data management, biostatistics, visualization, geospatial analysis, and M&E.
• Knowledge: Strong understanding of Nepal’s health system, data structures, and national surveys/census.
• Skills:
  • Expertise in quantitative data collection, analysis, and big data handling using R or STATA.
  • Proficient in MS Excel, STATA (.do files), and R scripts.
  • Proven report-writing capabilities.
• Cultural Awareness: Sensitivity to gender and cultural considerations in projects.
• Language: Fluency in spoken and written English and Nepali.