Digital Forestry Data Analyst Job Vacancy in Kitale, Kenya – Environmental Conservation

Data Analyst
Kitale
July 22, 2026
Full Time
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Job Description

Position: Digital Forestry Data Analyst

Company: World Wildlife Fund (WWF) Kenya

Location: Kitale, Kenya

Experience: 5-7 years

Education: Bachelor’s degree in Computer Science, Mathematics, or Statistics

Employment Type: Full-time

Industry: Environmental Conservation

Department: Data Science

Salary: 80,000 – 120,000 SSP per annum

Vacancies:1

Company Overview

World Wildlife Fund (WWF) Kenya is a leading international organization dedicated to conserving nature and reducing the most pressing threats to the diversity of life on Earth. Our mission is to build a future where people live in harmony with nature. We are committed to protecting the world’s most precious natural resources, including forests, oceans, and wildlife.

Job Overview

We are seeking a highly skilled and motivated Digital Forestry Data Analyst to join our team in Kitale, Kenya. The successful candidate will be responsible for analyzing and interpreting large datasets related to forest conservation and management. The position will involve working closely with our conservation teams to develop and implement data-driven solutions to inform forest management decisions.

Key Responsibilities

  • Analyze and interpret large datasets related to forest conservation and management
  • Develop and implement data-driven solutions to inform forest management decisions
  • Collaborate with conservation teams to develop and implement effective conservation strategies
  • Communicate complex data insights to non-technical stakeholders
  • Stay up-to-date with the latest trends and developments in data science and conservation biology

    • Required Skills

  • Strong analytical and problem-solving skills
  • Proficiency in programming languages such as Python, R, or SQL
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js
  • Strong communication and interpersonal skills
  • Ability to work independently and as part of a team

    • Education

    Bachelor’s degree in Computer Science, Mathematics, or Statistics

    Experience

    5-7 years of experience in data analysis, data science, or a related field

    Salary

    80,000 – 120,000 SSP per annum

    Benefits

  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technology and tools

    • Training

  • Regular training and professional development opportunities
  • Access to online courses and training resources
  • Collaboration with experienced professionals in the field

    • Working Environment

    Our office is located in Kitale, Kenya, and we offer a dynamic and collaborative work environment. We are committed to providing a safe and inclusive workplace for all employees.

    Application Process

    To apply for this position, please submit your resume and cover letter to https://kenyajobsearch.com and https://www.tanzaniajobsearch.com/.

    Equal Opportunity Statement

    World Wildlife Fund (WWF) Kenya is an equal opportunities employer and welcomes applications from all qualified candidates. We are committed to diversity and inclusion in the workplace and are an affirmative action employer.

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