Overview
The Data & Analytics Consultant will provide technical support for targeted data collection, data management, analysis, and reporting-related analytics to strengthen the Partnership for Lead-Free Futures (PLF). The role aims to ensure timely, high-quality datasets and analytical products to inform decision making, advocacy, accountability, and reporting processes.
Key Responsibilities
- Design and implement a streamlined and fit-for-purpose data cycle.
- Map PLF-relevant country projects and financial flows.
- Produce periodic, decision-ready analytical products to support coordination and resource mobilization efforts.
- Provide technical support to the PLF Annual Report process through indicator tracking, data collection and validation, analysis, visualizations, and compilation of reporting inputs.
Required Experience
- At least 5 years of progressively responsible professional experience in data management, monitoring and evaluation, research, analytics, knowledge management, or related fields within global health, environmental health, international development, or humanitarian contexts.
- Demonstrated experience supporting multi-country programmes, partnerships, or initiatives in global health, environmental health, international development, humanitarian, or related sectors.
- Proven experience managing large and complex datasets and producing high-quality analytical outputs, reports, and evidence products for decision-making.
- Experience designing and implementing data collection methodologies, tools, templates, surveys, and reporting systems.
- Experience coordinating partner reporting processes and ensuring data quality, consistency, and completeness across multiple countries or organizations.
- Demonstrated experience translating complex quantitative and qualitative data into clear, actionable insights, visualizations, dashboards, and analytical products for technical and non-technical audiences.
- Experience delivery consultancy assignments or technical support services within agreed timeline and quality standards.
Qualifications
• Bachelor's Degree in Data Analytics, Statistics, Data Science, Economics, Public Health, Development Studies, Information/Data Management, Monitoring and Evaluation.
