Agricultural Data Analyst Job Vacancy in Koidu, Sierra Leone – Agriculture & Data Analytics

Job Description

Position: Agricultural Data Analyst

Company: Cargill Sierra Leone

Location: Koidu, Sierra Leone

Experience: 2-4 years

Education: Bachelor’s degree in Data Science, Statistics, Agriculture or related field

Employment Type: Full-time

Industry: Agriculture & Data Analytics

Department: Data & Insights

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

Vacancies:1

Company Overview

Cargill Sierra Leone is a leading global agribusiness firm with a strong commitment to sustainable food production, supply chain excellence, and community development across West Africa. Operating in Sierra Leone for over two decades, Cargill partners with local farmers, cooperatives, and government agencies to improve crop yields, promote responsible land use, and enhance market access. The company’s innovative approach combines cutting‑edge technology with deep agricultural expertise, creating a dynamic environment for professionals who are passionate about data‑driven solutions in the farming sector. As part of Cargill’s worldwide network, employees in Sierra Leone benefit from international best practices, robust training programs, and a culture that values diversity, integrity, and continuous improvement. This role contributes directly to Cargill’s mission of feeding the world while supporting the economic growth of Sierra Leone.

Keywords: Sierra Leone Jobs, Jobs in Sierra Leone, Career Opportunities in Sierra Leone

Job Overview

The Agricultural Data Analyst will be responsible for collecting, cleaning, analyzing, and visualizing agricultural data to support strategic decision‑making across Cargill’s operations in Sierra Leone. Working closely with agronomists, supply chain managers, and technology teams, the analyst will transform raw data from field sensors, satellite imagery, market reports, and farmer surveys into actionable insights that drive productivity, reduce waste, and enhance profitability. This position offers a unique opportunity to apply advanced analytics in a real‑world agricultural context, influencing policies that affect thousands of smallholder farmers and contributing to national food security goals.

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Key Responsibilities

• Gather and integrate data from multiple sources, including IoT devices, drones, weather stations, and market databases.
• Perform data cleaning, validation, and preprocessing to ensure high‑quality datasets.
• Develop statistical models and predictive algorithms to forecast crop yields, pest outbreaks, and price trends.
• Create interactive dashboards and visual reports using tools such as Power BI, Tableau, or Python libraries.
• Collaborate with agronomy teams to translate analytical findings into practical field recommendations.
• Monitor key performance indicators (KPIs) related to farm productivity, input efficiency, and supply chain resilience.
• Provide regular data‑driven updates to senior management and external stakeholders.
• Ensure compliance with data privacy regulations and Cargill’s internal data governance policies.

Required Skills

• Proficiency in data analysis languages such as Python or R, and SQL for database querying.
• Experience with data visualization tools (Power BI, Tableau, or similar).
• Strong statistical knowledge, including regression, time‑series analysis, and machine learning basics.
• Familiarity with agricultural datasets, remote sensing, and GIS concepts is a plus.
• Excellent problem‑solving abilities and attention to detail.
• Effective communication skills to present complex findings to non‑technical audiences.
• Ability to work independently and as part of a multidisciplinary team.

Education

A Bachelor’s degree in Data Science, Statistics, Agricultural Economics, Agronomy, or a related discipline is required. Advanced certifications in analytics, such as a Microsoft Certified: Data Analyst Associate or a Coursera specialization in Agricultural Data Science, are considered advantageous.

Experience

Candidates should have 2‑4 years of professional experience in data analysis, preferably within the agricultural sector or a related field such as environmental science or supply chain analytics. Experience with large‑scale data pipelines, cloud platforms (AWS, Azure), and agricultural technology solutions will be highly valued.

Salary

The compensation package ranges from SSP 1,200,000 to SSP 1,800,000 per month, commensurate with experience and qualifications. Salary is paid monthly and includes statutory benefits as per Sierra Leone labor law.

Benefits

• Health insurance covering medical, dental, and vision care.
• Retirement savings plan with employer matching contributions.
• Performance‑based bonuses tied to project outcomes.
• Paid annual leave, sick leave, and public holidays.
• Transportation allowance for commuting to the Koidu office.

Training

• On‑boarding program covering Cargill’s data infrastructure, agricultural operations, and compliance standards.
• Access to online learning platforms for continuous skill development in analytics, machine learning, and agronomy.
• Mentorship from senior data scientists and agronomy experts.
• Opportunities to attend regional conferences on agri‑technology and data science.

Working Environment

The role is based in Cargill’s modern office in Koidu, equipped with high‑speed internet, collaborative workspaces, and a supportive team culture. Field visits to farms and research stations may be required periodically, providing hands‑on exposure to the data sources you will analyze. The organization promotes a healthy work‑life balance, encouraging flexible working hours when project timelines allow.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through our online portal. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a virtual interview followed by an on‑site assessment.

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Equal Opportunity Statement

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