Senior Marine Fisheries Data Analyst Job Vacancy in Thyolo, Malawi – Marine Fisheries

August 30, 2026
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Job Description

Position: Senior Marine Fisheries Data Analyst

Company: Cargill

Location: Thyolo, Malawi

Experience: 5+ years of experience in marine fisheries data analysis, statistical modeling, and GIS.

Education: Bachelor’s degree in Marine Biology, Fisheries Science, Environmental Science, or related field; Master’s preferred.

Employment Type: Full-time

Industry: Marine Fisheries

Department: Data & Analytics

Salary: SSP 1,200,000 – SSP 1,800,000 per annum

Vacancies:1

Company Overview

Cargill is a global leader in food, agriculture, and risk management, operating in more than 70 countries. In Malawi, Cargill has a strong presence supporting sustainable agriculture, agribusiness development, and community nutrition programs. The company’s commitment to environmental stewardship extends to marine ecosystems, where it collaborates with local fisheries, research institutions, and NGOs to promote responsible fishing practices and data‑driven resource management. By leveraging cutting‑edge technology and a deep understanding of regional markets, Cargill helps drive economic growth and food security across Malawi and the broader Southern African region.

Job Overview

The Senior Marine Fisheries Data Analyst will lead the collection, analysis, and interpretation of marine fisheries data to support sustainable management initiatives and inform policy decisions. This role will work closely with Cargill’s sustainability team, local fisheries cooperatives, and government agencies to develop robust datasets, predictive models, and visual dashboards that drive actionable insights. The successful candidate will play a pivotal role in advancing Cargill’s marine stewardship goals while contributing to broader Malawi Jobs and Jobs in Malawi initiatives.

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Key Responsibilities

  • Design and implement comprehensive data collection protocols for marine catch, effort, and by‑catch across Thyolo’s coastal and inland water bodies.
  • Develop and maintain GIS‑based spatial databases to map fishing zones, habitats, and resource utilization patterns.
  • Perform advanced statistical analyses and predictive modeling to assess stock health, migration trends, and climate impacts.
  • Create interactive dashboards and visual reports for stakeholders, including government ministries, NGOs, and community leaders.
  • Collaborate with Cargill’s sustainability and supply‑chain teams to integrate fisheries data into broader environmental and commercial strategies.
  • Provide technical training and capacity‑building workshops for local fisheries officers and cooperative members.
  • Ensure data quality, compliance with international standards, and confidentiality of sensitive information.

Required Skills

  • Proficiency in statistical software (R, Python, SAS) and data visualization tools (Tableau, Power BI).
  • Strong GIS expertise with ArcGIS or QGIS for spatial analysis.
  • In‑depth knowledge of marine fisheries science, stock assessment methods, and ecosystem‑based management.
  • Excellent communication skills for presenting complex data to non‑technical audiences.
  • Project management experience, including stakeholder coordination and timeline adherence.
  • Ability to work independently and lead cross‑functional teams in a dynamic environment.

Education

A Bachelor’s degree in Marine Biology, Fisheries Science, Environmental Science, or a closely related discipline is required. A Master’s degree or higher is strongly preferred, especially with a focus on quantitative analysis, marine resource economics, or environmental data science.

Experience

Applicants must have a minimum of five years of professional experience in marine fisheries data analysis, statistical modeling, and GIS applications. Experience working with government agencies, NGOs, or international development organizations in Malawi or the broader Southern African region is highly desirable.

Salary

The position offers a competitive salary range of SSP 1,200,000 to SSP 1,800,000 per year, commensurate with experience and qualifications. Performance‑based bonuses and incentives may be awarded based on the achievement of key sustainability and data‑quality targets.

Benefits

  • Comprehensive health insurance covering medical, dental, and vision.
  • Retirement savings plan with employer contributions.
  • Paid annual leave, sick leave, and public holidays.
  • Professional development allowance for certifications and conferences.
  • Employee assistance program supporting work‑life balance.

Training

  • On‑boarding program covering Cargill’s sustainability framework and data governance policies.
  • Advanced GIS and statistical modeling workshops conducted by industry experts.
  • Leadership and project management training to prepare for future senior roles.
  • Continuous learning opportunities through partnerships with local universities and research institutes.

Working Environment

The role is based in Thyolo, offering a vibrant community setting with easy access to coastal research sites and local fisheries hubs. Cargill provides a modern office equipped with high‑speed internet, collaborative workspaces, and a supportive team culture that values innovation, diversity, and environmental stewardship. Employees enjoy a flexible work schedule, with occasional field trips to data collection sites across Malawi.

Application Process

Interested candidates should submit an online application through Cargill’s career portal, attaching a detailed CV and a cover letter outlining relevant experience and motivation for the role. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited to a virtual interview followed by an on‑site assessment in Thyolo.

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Equal Opportunity Statement

Cargill is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, sexual orientation, or veteran status. All qualified applicants will receive consideration for employment without regard to any protected characteristic.

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