Business Intelligence Manager

The Business Intelligence Manager is responsible for transforming Kijani Forestry’s operational, carbon, and commercial data into decision-grade insights and external-facing reports. Data Architecture & 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 & De cision 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. Embed data capture into SOPs, training, and operational workflows. Provide structured feedback loops to improve usability and data completeness. Team Leadership & Capacity Building Build and manage a small Data & Analytics team (analysts, reporting specialists, GIS/data engineers as needed). Develop internal data literacy and reporting skills across teams. Document reporting processes, definitions, and assumptions to ensure continuity. Foster a culture of clarity, accountability, and learning around data use. Qualifications and Education Requirements Bachelor’s degree in Data Science, Statistics, Economics, Environmental Science, Engineering, Computer Science, or a related quantitative field. Master’s