Summary
Date Posted: Friday, January 24 2025, Base Salary: Not Disclosed

JOB DETAILS:
ROLE PURPOSE
The Data and Evidence Specialist is responsible for strengthening the organization’s data management, analysis, and research capacities. This role ensures the integration of data and evidence into strategic planning, program design, and advocacy efforts, driving informed decision-making and demonstrating the organization’s impact.

KEY RESPONSIBILITIES
1. Data Management and Quality Assurance
• Gather data from diverse sources, including surveys, reports, and databases.
• Identify and resolve inconsistencies and errors to ensure data accuracy.
• Regularly update and maintain organizational databases to uphold data integrity.
• Conduct validation checks to ensure reliability and compliance with established standards.

2. Data Analysis and Insights
• Use statistical tools to analyze data and identify trends.
• Translate complex data findings into actionable insights to inform program design and strategy.
• Create clear and impactful charts, graphs, and dashboards to effectively communicate data findings.

3. Research and Evidence Generation
• Design and implement targeted research initiatives aligned with strategic goals.
• Partner with program teams to identify research needs and ensure integration of findings into decision-making.
• Establish strategic partnerships with research institutions and data-focused entities to enhance organizational research capabilities.

4. Reporting and Documentation
• Prepare detailed reports summarizing data insights and research findings for internal and external stakeholders.
• Document methodologies, processes, and findings to ensure sustainable knowledge management.
• Provide data-driven evidence to support advocacy and policy engagement efforts.

5. Collaboration and Capacity Building
• Work cross-functionally with program teams to foster a culture of learning and adaptive management.
• Engage with stakeholders to understand data needs and provide tailored support.
• Build the capacity of teams to utilize data analytics and evidence in their work.

6. Knowledge Management
• Develop sustainable practices for capturing, storing, and sharing knowledge across the organization.
• Ensure data and insights are accessible and effectively utilized to enhance program and organizational effectiveness.

7. Advocacy and Policy Support
• Provide credible evidence to influence decision-making in government, private sector, and international forums.
• Strengthen accountability and communicate organizational achievements through data-driven narratives.

8. Additional Responsibilities
• Contribute to resource mobilization activities and development of high-quality funding proposals and business cases, collaborating with relevant teams to ensure timely and quality submissions.
• Ensure spending within the approved budget and in line with finance and procurement guidelines.
• Perform additional tasks assigned by the head of Growth and Executive Director to support the strategic direction and operational efficiency of the organization.

QUALIFICATIONS AND EXPERIENCE
Education:
• Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or a related field.
• Master’s degree or advanced certification in data analytics, research, or knowledge management is an added advantage.
Experience:
• At least 5 years of experience in data management, analysis, or research in a development or non-profit context.
• Proven experience using statistical tools and software (e.g., Excel, SPSS, R, Python).
• Strong track record of designing and implementing impactful research and evidence-based projects.

KEY COMPETENCIES
• Technical Expertise: Proficiency in data analysis tools and software.
• Strategic Thinking: Ability to align data and research initiatives with organizational goals.
• Collaboration: Excellent interpersonal skills to work with cross-functional teams and stakeholders.
• Communication: Strong ability to present complex data findings in a clear and compelling manner.
• Problem-Solving: Skilled in identifying and addressing data-related challenges.
• Organizational Skills: Capacity to manage multiple tasks and maintain high-quality outputs.

Work Hours: 8

Experience in Months: 60

Level of Education: Bachelor Degree

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