Job Description
Position: Wildlife Conservation Data Analyst
Company: The Nature Conservancy Botswana
Location: Shakawe, Botswana
Experience: 3-5 years
Education: Bachelor’s Degree in Environmental Science, Ecology, or related field
Employment Type: Full-time
Industry: Environmental Conservation
Department: Wildlife Research
Salary: 150,000 – 200,000 SSP
Vacancies:1
Company Overview
The Nature Conservancy Botswana is a global leader in conservation science and land management, dedicated to protecting ecosystems and biodiversity across Botswana. With a focus on sustainable practices and community engagement, the organization works closely with local stakeholders to preserve wildlife habitats and promote ecological balance. Operating in diverse environments from the Okavango Delta to the Kalahari, the Conservancy combines cutting-edge research with on-the-ground action to address environmental challenges.
Job Overview
This role is ideal for a data-driven professional passionate about wildlife conservation. The Wildlife Conservation Data Analyst will leverage advanced analytics to support conservation strategies, monitor biodiversity trends, and inform policy decisions. The position requires collaboration with biologists, researchers, and local communities to ensure data-driven outcomes that align with Botswana’s environmental goals. Apply now to contribute to impactful conservation work in one of Africa’s most ecologically significant regions.
Key Responsibilities
- Analyze wildlife population data, habitat usage patterns, and environmental impact metrics using statistical tools.
- Develop predictive models to assess conservation risks and opportunities.
- Collaborate with field teams to collect and validate ecological data.
- Produce reports and visualizations for stakeholders, including government agencies and NGOs.
- Support the design of conservation programs based on data insights.
Required Skills
- Proficiency in data analysis software (Python, R, or SQL).
- Experience with GIS mapping and spatial analysis tools.
- Strong understanding of wildlife ecology and conservation principles.
- Excellent communication skills for presenting complex data to non-technical audiences.
- Ability to work in remote field conditions with limited supervision.
Education
Bachelor’s Degree in Environmental Science, Ecology, Geography, or a related discipline. Advanced degrees (Master’s or PhD) in conservation science are a plus.
Experience
3-5 years of experience in environmental data analysis, preferably in wildlife conservation or ecological research. Fieldwork experience in Botswana or neighboring regions is advantageous.
Salary
150,000 – 200,000 SSP annually, commensurate with experience and qualifications.
Benefits
- Comprehensive health insurance coverage.
- Professional development stipend for certifications or courses.
- Field equipment and safety gear for remote work.
- Flexible work arrangements to balance field and office responsibilities.
- Opportunities for international collaboration with conservation partners.
Training
- Onboarding training in The Nature Conservancy’s conservation methodologies.
- Specialized workshops on advanced data analysis techniques.
- Field safety and wildlife handling protocols.
- Leadership development programs for career advancement.
Working Environment
The role involves a mix of office-based data analysis and fieldwork in remote conservation areas. Candidates must be comfortable working in challenging outdoor conditions, including heat, dust, and limited infrastructure. The position requires occasional travel to conservation sites across Botswana and neighboring countries.
Application Process
Submit your resume, cover letter, and portfolio of analytical work to https://botswanajobsearch.com. Applications must include a statement of conservation values and how your skills align with The Nature Conservancy’s mission. Shortlisted candidates will be contacted for interviews by 2026-08-01.
Equal Opportunity Statement
The Nature Conservancy Botswana is committed to diversity and inclusion. We encourage applications from all qualified candidates, regardless of gender, ethnicity, or background. Equal opportunity is extended to individuals with disabilities.