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Kijani Forestry

Agriculture + 2 more

Data and Analytics Manager

Closed for applicationsOnly on Fuzu

Posted: 10 Feb 2026

Apply by: 15 Mar 2026

Expired

Job details

Contract Type

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.






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 competences

● 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

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

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

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

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

Experience supporting investor due diligence processes



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