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Biyinzika Poultry International Limited, Kijani Forestry, Sunculture, Victory Farms, Yalelo UgandaProfession (Agriculture, fishing, forestry, Mid-level)
Industry (Mid-level)
Seniority (Agriculture, fishing, forestry)
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Agriculture + 2 more
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.
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 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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