Data and Analytics Manager At Kijani Forestry

Data and Analytics Manager

Uganda * Full-time

Kijani Forestry

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

Category: Data Analysis Total Positions: 01 Location: Uganda Full-time Salary: not mentioned Posted 2 months ago

KEY DUTIES AND RESPONSIBILITIES

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.

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QUALIFICATIONS / SKILLS

Document reporting processes, definitions, and assumptions to ensure continuity.

• Foster a culture of clarity, accountability, and learning around data use.

QUALIFICATIONS AND EDUCATION

REQUIREMENTS

EXPECTED DELIVERABLES

• 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. Bl 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.

• In initial probation period, weekly check-ins on work progress, roadblocks, and assistance needed

• Produce reports or internal memos as needed on requested activities