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Data and Analytics Manager

Kijani Forestry

Quality Control & Assurance

6 days ago
New
Experience Level: Senior level Experience Length: 5 years

Job descriptions & requirements

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, Economics,
Environmental Science, Engineering, Computer Science, or a relatedquantitative
field.

Science, Environmental Economics, ●Master’s  degree in Data Analytics, Data 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 workingin
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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