We are seeking a skilled Statistician and Data Analyst to join our team and support our livelihood projects through rigorous statistical analysis and data interpretation..
Key Responsibilities:
Monitoring - MIS:
- Assist in running the ongoing livelihood intervention monitoring system.
- Develop tools as needed to enhance monitoring effectiveness.
- Maintain and update the PHP-based monitoring data entry and dashboard platform.
- Establish systems and protocols to ensure high-quality monitoring data.
Evaluation Studies:
- Collaborate in designing evaluation research studies and need assessments, including research methods and sampling methodologies.
- Design digital data collection tools tailored to project requirements (eg, SurveyCTO, Kobo).
- Provide support in field data collection activities to ensure data integrity.
- Develop systems and protocols to maintain high standards of evaluation data quality.
- Create statistical analysis plans and conduct in-depth data analysis.
- Prepare comprehensive reports and presentations (decks) summarizing findings for program teams.
Data Quality and Validation:
- Oversee the data collection process to ensure accuracy and completeness.
- Implement validation protocols to identify and address errors or inconsistencies in collected data.
- Establish and maintain data quality standards and procedures.
- Conduct regular data quality assessments and audits to ensure accuracy, completeness, and consistency of data.
- Enforce quality assurance measures throughout the data collection lifecycle.
Collaboration:
- Work closely with research teams to understand data requirements and specifications.
- Collaborate with IT and M&E teams to implement and improve data quality processes.
Training and Awareness:
- Provide training to research staff on data quality standards and best practices.
- Foster awareness of the importance of data quality among team members.
Issue Resolution:
- Investigate and resolve data quality issues promptly.
- Collaborate with relevant stakeholders and teams to address root causes of data discrepancies.
Continuous Improvement:
- Identify areas for improvement in data quality processes and implement necessary changes.
- Stay informed about industry best practices and emerging trends in data quality management.
Requirements: - PG or Masters degree in Statistics, Bio-Statistics, Demography, Economics, Management, Developmental Studies, or any other relevant discipline with in-depth knowledge of statistics and quantitative analysis.
- Proven experience in data analysis and statistical modeling.
- Proficiency in statistical packages like Excel, SPSS, STATA, or R for dataset analysis.
- Working knowledge of data visualization software like Tableau or Power BI.
- Strong analytical and problem-solving skills.
- Excellent communication (verbal and written) and presentation abilities.
- Prior experience working on livelihood projects or in the social sector is a plus.
- Willingness to participate in field activities/surveys and travel to remote areas within the region
