Job Description
Position: Digital Forestry Data Analyst
Company: World Wildlife Fund
Location: Kisumu, Kenya
Experience: 5-7 years
Education: Bachelor’s degree in Computer Science or related field
Employment Type: Full-time
Industry: Environmental Conservation
Department: Data Science
Salary: 60,000 – 90,000 SSP per annum
Vacancies:1
Company Overview: The World Wildlife Fund (WWF) is an international organization that works to conserve nature and reduce the most pressing threats to the diversity of life on Earth. Our mission is to build a future where humans live in harmony with nature.
Job Overview: We are seeking a highly skilled Digital Forestry Data Analyst to join our team in Kisumu, Kenya. The successful candidate will be responsible for analyzing and interpreting large datasets related to forestry and conservation, and providing insights to inform our conservation efforts. The position will also involve working closely with our field teams to collect and analyze data, and developing and implementing data-driven solutions to address conservation challenges.
Key Responsibilities:
- Collect and analyze large datasets related to forestry and conservation
- Develop and implement data-driven solutions to address conservation challenges
- Work closely with field teams to collect and analyze data
- Provide insights and recommendations to inform conservation efforts
- Develop and maintain databases and data systems
Required Skills:
- Strong analytical and problem-solving skills
- Experience with data analysis and visualization tools (e.g. R, Python, Tableau)
- Strong understanding of forestry and conservation principles
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
Education: Bachelor’s degree in Computer Science or related field
Experience: 5-7 years of experience in data analysis and conservation
Salary: 60,000 – 90,000 SSP per annum
Benefits:
- Competitive salary and benefits package
- Opportunity to work with a leading international conservation organization
- Chance to make a meaningful contribution to conservation efforts
Training: The successful candidate will receive comprehensive training and support to ensure their success in the role.
Working Environment: The position will be based in Kisumu, Kenya, with regular travel to other locations in Kenya and potentially internationally.
Application Process: To apply, please submit your CV and cover letter to https://kenyajobsearch.com and https://www.tanzaniajobsearch.com/.
Equal Opportunity Statement: WWF is an equal opportunities employer and welcomes applications from all qualified candidates.