Research & Analytics Head

As the Head of Research & Analytics , you will lead evidence-driven decision-making and impact measurement across our skilling and livelihoods programs. This pivotal role requires a deep understanding of development sector research, the ability to translate field data into actionable policy insights, and extensive expertise in measuring the long-term outcomes of training and employment interventions. You will play a crucial role in shaping our strategic direction through robust data collection, analysis, and reporting.

Key Responsibilities

• Research & Knowledge Generation :
• Design and lead labor market and sectoral research to inform project design, advocacy efforts, and strategic partnerships.
• Collaborate with global and local think tanks, academic institutions, and industry bodies to co-create impactful research outputs.
• Produce high-quality knowledge products, including research briefs, policy notes, and white papers for public dissemination.
• Monitoring, Evaluation & Learning (MEL) :
• Oversee the design and execution of baseline, midline, and endline evaluations across multiple projects and geographies.
• Develop Theory of Change (ToC), logframes, and indicator matrices aligned with donor reporting requirements (e.g., USAID, GIZ, DFID).
• Ensure that lessons learned are effectively integrated back into program design and strategic decisions.
• Data Systems & Analytics :
• Build robust, scalable data systems for capturing and analyzing program performance, from enrollment through job placement.
• Utilize tools like Power BI, Tableau, R, or STATA for real-time analytics, dashboards, and donor presentations.
• Ensure data quality, integrity, and ethical handling across all data touchpoints.
• Stakeholder Reporting & Advocacy :
• Support program teams with research-backed inputs for grant proposals, donor reports, and strategic documents.
• Represent the organization in donor meetings, consortiums, and policy-level dialogues, articulating impact and insights effectively.
• Coordinate with field teams to ensure meaningful data collection that prioritizes the learner and community voice.
• Team Management & Capacity Building :
• Lead and mentor a team of M&E specialists, field researchers, and analysts.
• Foster a learning culture through regular capacity-building sessions on data literacy, qualitative methods, and participatory research.
• Promote cross-team collaboration to ensure research insights drive actionable outcomes and accountability.

Qualifications

Skills & Expertise

Skills Required

R Tool, Stata, Data Visualization, Analytical Thinking, Data Governance