Data Analyst

Raising The Village is hiring a Data Analyst to support RTV in collecting, managing, analyzing, and reporting high-quality data to inform decision-making, improve program performance, and measure outcomes and impact.

Working closely with program, Monitoring, Evaluation and Applied Learning, and Product Development teams, the role ensures that data collected is relevant, accurate, reliable, and effectively used for performance monitoring, learning, accountability, and evidence-based decision-making.

The Data Analyst provides technical support across data collection planning, questionnaire development, data quality assurance, monitoring and evaluation, research, and impact assessment. The role requires strong quantitative and analytical skills, a solid understanding of monitoring and evaluation frameworks and methodologies, proficiency in data visualization and reporting, and the ability to translate complex data into clear, actionable insights and recommendations for diverse stakeholders.

Key Duties and Responsibilities:

Data Analysis and Insights Generation

Analyze and interpret data to generate actionable insights that support program performance and strategic decision-making.
Identify trends, patterns, and key drivers of performance through quantitative and qualitative analysis.
Translate analytical findings into clear recommendations for technical and non-technical stakeholders.
Contribute to organizational learning by synthesizing evidence and supporting data-driven decision making.
Impact Evaluation and Research Support

Support the design and implementation of evaluations, assessments, surveys, and research activities.
Contribute to the development of evaluation methodologies, sampling approaches, and analytical frameworks.
Support the measurement of program outcomes and impact through rigorous analytical approaches.
Summarize and communicate research findings to inform program improvement and learning.
Dashboard Development, Data Visualization, and Reporting

Develop and maintain dashboards, visualizations, and reporting products for internal and external
stakeholders.
Prepare analytical reports, presentations, and data summaries.
Transform complex data into clear, compelling, and actionable insights.
Promote the effective use of data for performance monitoring and decision-making.
Data Collection Design and Tool Development

Support the design and implementation of data collection methodologies aligned with program objectives and monitoring and Evaluation frameworks.
Development and refinement of data collection instruments and performance measurement tools.
Support the development of data management guidelines, training materials, and standard operating procedures.
Continuously improve data collection processes to enhance data quality and usability. Data Management and Quality Assurance
Manage the data lifecycle, including cleaning, validation, storage, analysis, and reporting.
Implement data quality assurance processes to ensure accuracy, completeness, consistency, and
reliability of data.
Support data governance and compliance with organizational data management standards.
Identify and resolve data quality issues to ensure the availability of high-quality data for decision-making.
 

Qualifications, Skills and Experience:

Bachelor’s degree in Statistics, Economics, Quantitative Economics, Data Science, or another related quantitative discipline.
A postgraduate qualification in Monitoring and Evaluation, Statistics, Economics, Data Science, Project Planning and Management, or a related field is an added advantage
At least 3 years of experience in data management, analytics, monitoring and evaluation, research, or related fields.
Technical Requirements.
Proficiency in R, Python, and/or advanced STATA or MS Excel.
Experience with data visualization tools such as Power BI, Tableau, Looker Studio, or Shiny etc
Strong understanding of data management, data quality assurance, and analytical workflows.
Familiarity with experimental and quasi-experimental evaluation methods.
Ability to synthesize quantitative and qualitative evidence into actionable insights
Responsibilities  Data Analysis and Insights Generation  Analyze and interpret data to generate actionable insights that support program performance and strategic decision-making.
Identify trends, patterns, and key drivers of performance through quantitative and qualitative analysis.
Translate analytical findings into clear recommendations for technical and non-technical stakeholders.
Contribute to organizational learning by synthesizing evidence and supporting data-driven decision making.
Impact Evaluation and Research Support Support the design and implementation of evaluations, assessments, surveys, and research activities.
Contribute to the development of evaluation methodologies, sampling approaches, and analytical frameworks.
Support the measurement of program outcomes and impact through rigorous analytical approaches.
Summarize and communicate research findings to inform program improvement and learning.
Dashboard Development, Data Visualization, and Reporting  Develop and maintain dashboards, visualizations, and reporting products for internal and external stakeholders.
Prepare analytical reports, presentations, and data summaries.
Transform complex data into clear, compelling, and actionable insights.
Promote the effective use of data for performance monitoring and decision-making.
Data Collection Design and Tool Development Support the design and implementation of data collection methodologies aligned with program objectives and monitoring and Evaluation frameworks.
Development and refinement of data collection instruments and performance measurement tools.
Support the development of data management guidelines, training materials, and standard operating procedures.
Continuously improve data collection processes to enhance data quality and usability.
Data Management and Quality Assurance  Manage the data lifecycle, including cleaning, validation, storage, analysis, and reporting.
Implement data quality assurance processes to ensure accuracy, completeness, consistency, and reliability of data.
Support data governance and compliance with organizational data management standards.
Identify and resolve data quality issues to ensure the availability of high-quality data for decision-making.
Technical Requirements. Proficiency in R, Python, and/or advanced STATA or MS Excel.
Experience with data visualization tools such as Power BI, Tableau, Looker Studio, or Shiny etc Strong understanding of data management, data quality assurance, and analytical workflows.
Familiarity with experimental and quasi-experimental evaluation methods.
Ability to synthesize quantitative and qualitative evidence into actionable insights
Professional Requirements. Bachelor’s degree in Statistics, Economics, Quantitative Economics, Data Science, or another related quantitative discipline.
A postgraduate qualification in Monitoring and Evaluation, Statistics, Economics, Data Science, Project Planning and Management, or a related field is an added advantage At least 3 years of experience in data management, analytics, monitoring and evaluation, research, or related fields.
Travel Required:

Up to 30%
 

How to Apply:

All suitably qualified and Interested applicants should apply online at the link below.

https://raisingthevillage.breezy.hr/p/758beede7e8201-data-analyst?state=published

NB: Only shortlisted candidates will be contacted.