Job Description
MAIN RESPONSIBILITIES
The anticipated roles and responsibilities of Data Analyst include but are not limited to the following
Quantitative Data Collection Tools Development
- Design and develop robust data collection tools and templates for surveys, assessments, and monitoring activities.
- Collaborate with research teams to ensure tools capture relevant quantitative data for study objectives.
- Test, validate, and refine data collection tools for accuracy, usability, and reliability.
- Develop digital data collection tools (e.g., mobile or web-based platforms).
- Train field teams on the use of data collection tools, ensuring consistent and accurate data entry.
Data Management
- Develop and maintain efficient data storage, organization, and retrieval systems.
- Oversee data cleaning, validation, and quality assurance processes to ensure the integrity of datasets.
- Standardize data coding and formatting to facilitate consistent analysis workflows.
- Maintain accurate metadata and documentation for datasets, including variable descriptions and processing steps.
- Establish data management protocols to safeguard data security and confidentiality.
Data Analysis
- Perform statistical analyses, including descriptive, inferential, and multivariate techniques, using STATA or R.
- Conduct advanced analyses, such as regression modeling, factor analysis, and longitudinal data analysis.
- Explore data for trends, associations, and patterns relevant to health research objectives.
- Provide insights into key research questions and develop predictive models when necessary.
- Support research teams with sample size calculations and power analyses during study design.
- Able to use AI with standard prompt for data management and analysis
Data Interpretation and Reporting
- Interpret complex analytical results in a clear and concise manner for diverse audiences.
- Develop reports, presentations, and dashboards to communicate findings effectively.
- Collaborate with researchers to contextualize results within health systems and policy frameworks.
- Create data visualizations to highlight significant trends and insights.
- Contribute to the development of peer-reviewed manuscripts, policy briefs, and technical reports.
Collaboration and Capacity Building
- Work closely with interdisciplinary teams, including epidemiologists, public health specialists, and policymakers.
- Provide mentorship and capacity-building sessions on quantitative data collection and STATA or R usage.
- Engage in collaborative study design, including identifying appropriate variables and measurement techniques.
- Participate in workshops and meetings to align data activities with organizational goals and objectives.
Ethics and Compliance
- Ensure data collection and analysis activities adhere to ethical research guidelines and data privacy regulations.
- Support the preparation of datasets and methodologies for submission to ethical review boards.
- Maintain compliance with funding agency requirements and organizational data governance policies.
Continuous Learning and Improvement
- Stay updated on new developments in quantitative research methods, data analysis, and STATA/R/Python functionalities.
- Recommend and implement innovative tools and methodologies to enhance data workflows.
- Evaluate the effectiveness of data processes and propose improvements to optimize efficiency.
The above list of responsibilities is not comprehensive, and the Data Analyst may be required to take on additional responsibilities, as assigned by the Line Manager or other team members, to meet organizational needs and requirements.
Job Specification
MINIMUM REQUIREMENTS
- These foundational qualifications and experiences ensure the Data Analyst can effectively contribute to HERD International’s Research Team and its data-driven initiatives.
- Master's degree or above in public health or health science or statistics or data science or demography, biostatistics or social sciences or a relevant discipline that includes quantitative methods from a recognized institution.
- Minimum five years of progressive experience in public health, data management, advanced biostatistical analysis, data visualization, geospatial data handling and analysis, monitoring & evaluation, and research.
- Clear understanding on the health system of Nepal and well known about the health system data along with the national representative surveys and census database
- Demonstrated experience in designing rigorous quantitative data collection systems and methods for data analysis using R or STATA. Experience in handling big data.
- Strong analytical and computer skills, in MS-Excel, STATA, R using .do file or R scripts.
- Proven ability to write analytical and comprehensive reports independently.
- Excellent spoken and written proficiency in both English and Nepali languages.
- Recognition and integration of gender and cultural considerations in project activities.
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