Kijani ForestryUganda

Data and Analytics Manager

Description

The Head of Data & Analytics is responsible for transforming Kijani Forestry’s operational, carbon, and commercial data into decision-grade insights and external-facing reports . DataArchitecture & Analytics  Strategy ●Design and maintain Kijani’s organization-wide data architecture and analytics  stack. ●Ensure seamless data flows between field systems, MEL repositories, carbon models, and reporting tools. ●Define  analytical standards, metrics, and reporting logic using MEL-validated  datasets. ●Ensure  scalability of data systems as Kijani grows across projects, geographies, and carbon models. Analytics, Forecasting & Decision Support ●Develop       dashboards, reports, and analytical tools that  support: ○Carbon     forecasting and delivery  planning ○Operational     performance  management ○Financial     and operational  planning ●Translate       validated datasets into actionable insights for leadership and functional  teams. ●Build       scenario and forecasting models (e.g. survival, growth, SOC, credit issuance  timing). ●Proactively       surface risks, inconsistencies, and performance  trends. Carbon, MRV & MEL Data Collaboration ●Partner closely with the MRV–MEL Director to ensure analytics and reporting are grounded in validated, audit-ready data. ●Work with the Head of Carbon to support carbon modeling, MRV planning, and certification needs. ●Support integration and scaling of digital MRV (dMRV) tools alongside MEL  systems. ●Maintain  alignment between field data, MRV indicators, and carbon modeling  inputs External Reporting & Disclosure ●Own   the production and coordination of all external reporting , including: ○Investor        and board reports ○Carbon       buyer due diligence  materials ○Impact,        ESG, and sustainability reports ○Donor,        grant, and partner reporting ○External       international and national  communications ●Ensure  consistency across all external narratives, metrics, and figures. ●Coordinate internal review and sign-off processes (MEL validation, Carbon technical review, leadership approval). ●Act as the final compiler of truth for any externally shared data  products. Field Systems and Tool Enablement ●Support the design and improvement of field data collection tools in collaboration with Operations and MEL. ●Ensure tools are practical for field teams while producing analytics- and reporting-ready  outputs. ●Embeddata capture into SOPs, training, and operational  workflows. Providestructured feedback loops to improve usability and data  completeness Team Leadership & Capacity Building ●Build  and managea small Data & Analytics team (analysts, reporting specialists, GIS/data engineers as needed). ●Develop  internal data literacy and reporting skillsacross teams. ●Document  reporting processes, definitions, and assumptions to ensure continuity. Foster a cultureof clarity, accountability, and learning arounddata use. Qualifications and competences ● Bachelor’s degree in Data Science, Statistics, Ec

Skills

Data Science

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