State Logistics Data Analyst

Senior Monitoring, Evaluation & Learning (mel) Officer

About the MNH-ASSIST Project The Maternal and Newborn Health Accelerated Scale-Up of Sustainable Supply Chain Interventions and Systems Transformation (MNH-ASSIST) project aims to improve the uninterrupted availability, beneficiary access, utilization, tracking, and reporting of MNH bundle commodities across supported health facilities. This will be achieved through multi-stakeholder collaborations that cut across various MDAs including the SMoH, SPHCDAs, DMA/CMS and health facilities, and partners like FIELD Intelligence, C4SD, ACEPHAP, TA Connect, SCIDaR, and CHAI among others. The project seeks to sustainably achieve the following: effective MNH commodities last-mile delivery (LMD) to facilities, improved states capacity to plan, finance, and execute LMD, digitalize states LMIS and enable real-time visibility for logistics data, consumption-driven MNH bundle commodities forecasting/quantification, and strengthened DRF programs to ensure continuous replenishment of MNH commodities. Additionally, the project aims to facilitate affordable access to these bundled MNH services for beneficiaries by leveraging existing government and donor-driven financing mechanisms that protect women and their families from financial risks; these include national and states health insurance schemes, free/subsidized MNCH services integrated into BHCPF 2.0 and HOPE-PHC project, and states free MNCH programs where available. Role Summary The Senior MEL Officer will provide strategic and operational leadership for the design, implementation, and continuous strengthening of the project's Monitoring, Evaluation, and Learning system. He/she will play a critical integrator role, linking data systems (NHLMIS, program dashboards) with programmatic decision-making at central strategic level and across the 5 focus states. The role will directly supervise the MEL Analyst and State Logistics Data Analyst and indirect reports from State Technical Assistants. The role will ensure: High-quality, timely, and reliable data from eLMIS, program dashboards and field implementation reports Active performance tracking against project results framework targets Evidence generation to inform program design, policy engagement, and scale Continuous learning and adaptive program management Provide technical guidance to SLDA, STAs on data use and reporting Coordinate closely with partner MEL teams (C4SD, FIELD Intelligence, and service delivery partners) Prepare high-impact performance visualization decks and resources for donor updates and government stakeholder engagements Key Responsibilities Strategic MEL Leadership: Lead the development and refinement of the project's MEL framework, theory of change, and results measurement plan Align MEL systems with donor requirements and national reporting systems Ensure integration across supply chain, financing, and service delivery data streams System Design & Data Architecture: Lead the design and deployment of end-to-end data systems including: Data collection tools (digital and paper-based) Program Indicator tracking dashboards Real-time dashboards and performance tracking systems Ensure seamless integration with NHLMIS / eLMIS Data Management & Quality Assurance: Establish and drive adherence to data governance protocols across all levels Lead Data Quality Assessments (DQAs) and validation exercises Conduct periodic spot-checks and verification visits Ensure triangulation of data sources (LMIS, facility registers, financial records) Performance Monitoring & Reporting: Track and analyze key program indicators, including: MNH commodity stock levels, consumption trends and stockout rates Order fill rates, facility reporting rates and order turn around time States DRF budgeting and replenishment performance against targets NHLMIS adoption, use, reporting completeness and timeliness across states Produce monthly, quarterly, and annual reports Develop donor updates/reports, technical briefs and executive dashboards for leadership decision-making Learning, Adaptation & Knowledge Management: Lead quarterly data review and learning sessions with technical partners (FIELD, C4SD) Generate actionable insights to guide program adjustments, policy advocacy, resource allocation Document and disseminate best practices, lessons learned, case studies and success stories Evaluation & Research: Lead and coordinate: Baseline, midline, and endline assessments Routine monitoring and special studies Support implementation of project evaluations focused on: End-to-end commodity logistics data DRF budgeting, allocation and replenishment metrics LMIS digitization and uptake Ensure rigorous analysis of trends and outcomes Capacity Strengthening & Mentorship: Supervise capacity building of Build capacity of state and LGA M&E officials and health facility staff Develop training and mentorship materials on: Data collection and reporting Data use for decision-making LMIS and DRF data systems Partner & Stakeholder Coordination: Coordinate MEL activities for the project in synergy with C4SD and FIELD Participate in joint data review and cross-learning forums Provide technical input into policy development, advocacy efforts and program design reviews Key Performance Indicators (KPIs) Timeliness and quality of MEL reports Accuracy and completeness of data across all states Improvement in key indicators (stockout rates, reporting rates, DRF functionality) Strength of data use for decision-making at state and facility levels Capacity improvement of MEL staff and partners. Qualifications Education: Bachelor's Degree in Statistics, Epidemiology, Public Health, Economics, or related field Master's degree required (or strongly preferred) Experience: Minimum of 5 years progressive experience in MEL, with experience in supervisory role Significant experience managing MEL systems on donor-funded projects (Gates Foundation, USAID, Global Fund, etc.) Proven track record in implementing multi-state or large-scale health sector interventions Experience working in health systems strengthening or supply chain/commodity programs Technical Expertise: Proficiency in the use of Data analytics and visualization tools like Excel, Power BI, and Tableau DHIS2, NHLMIS/eLMIS Mobile data tools (ODK, KoboToolbox, CommCare) Strong knowledge of Results frameworks and indicator tracking Data quality assurance methodologies DRF systems and health financing analytics (highly desirable) Core Competencies: Strong analytical and strategic thinking skills Exceptional data interpretation and visualization ability High level of integrity and attention to detail Excellent leadership, coaching, and team management skills Strong communication and stakeholder engagement skills Ability to operate in complex, multi-partner environments