Kijani Forestry

Agriculture + 2 more

Business Intelligence Manager

Only on Fuzu
Job details

Contract Type

Description
The Business Intelligence Manager is responsible for transforming Kijani Forestry’s operational, carbon, and commercial data into decision-grade insights and external-facing reports.


Responsibilities

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 & 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.

  • 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 degree in Data Analytics, Data Science, Environmental Economics, Public Policy, or a related field preferred but not required.

  • 5+ years of experience in data analytics, analytics leadership, or decision-support roles.

  • Demonstrated experience producing external-facing reports for investors, donors, buyers, regulators, or boards.

  • Experience building dashboards and reporting pipelines (e.g. BI tools, spreadsheets, or custom analytics stacks).

  • nice to have

    • Experience supporting carbon markets, climate finance, or nature-based solutions.

    • Familiarity with ESG, impact reporting frameworks, or sustainability disclosures.

    • Experience working in Sub-Saharan Africa or similar operating contexts.

    • Exposure to digital MRV (dMRV) or spatial analytics systems.

    • Experience supporting investor due diligence processes.



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