Senior Agricultural Data Analyst Job Vacancy in Lilongwe, Malawi – Agriculture & Agribusiness

Job Description

Position: Senior Agricultural Data Analyst

Company: John Deere Malawi

Location: Lilongwe, Malawi

Experience: 5+ years in data analysis, preferably in agriculture

Education: Bachelor’s degree in Data Science, Agriculture, or related field; Master’s preferred

Employment Type: Full-time

Industry: Agriculture & Agribusiness

Department: Data & Analytics

Salary: SSP 1,500,000 – 2,500,000 per annum

Vacancies:1

Company Overview

John Deere Malawi is a leading provider of advanced agricultural machinery, precision farming solutions, and agronomic services across the region. With a strong commitment to sustainable farming, the company supports Malawian farmers in increasing productivity, reducing environmental impact, and improving livelihoods. As part of a global brand renowned for innovation, John Deere Malawi combines local expertise with cutting‑edge technology to deliver reliable equipment and data‑driven insights. The organization values diversity, continuous learning, and a collaborative culture that empowers employees to make a meaningful impact on Malawi’s agricultural sector.

For more information about our mission and values, visit our main portal at https://malawijobsearch.com.

Job Overview

The Senior Agricultural Data Analyst will lead the design, development, and implementation of data solutions that transform raw farm data into actionable intelligence for John Deere’s customers and internal stakeholders. This role sits at the intersection of agriculture, technology, and business strategy, enabling data‑driven decision making that enhances crop yields, optimizes input usage, and supports sustainable practices. The analyst will collaborate with agronomists, engineers, product managers, and external partners to build robust analytics pipelines, dashboards, and predictive models tailored to Malawi’s unique farming environments.

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Key Responsibilities

• Develop and maintain end‑to‑end data pipelines that ingest, clean, and store data from IoT sensors, satellite imagery, and farmer surveys.
• Design interactive dashboards and visualizations that present key performance indicators for crop health, soil moisture, and equipment utilization.
• Build predictive models to forecast yield, pest outbreaks, and optimal fertilizer application rates.
• Collaborate with agronomy teams to translate analytical insights into practical recommendations for smallholder and commercial farms.
• Ensure data quality, governance, and compliance with local regulations and John Deere data standards.
• Mentor junior analysts and promote best practices in data science, statistical analysis, and agricultural research.
• Present findings to senior leadership, clients, and external partners, highlighting ROI and sustainability impacts.

Required Skills

• Proficiency in SQL, Python or R, and data visualization tools such as Power BI or Tableau.
• Strong understanding of agricultural processes, crop cycles, and precision farming technologies.
• Experience with GIS, remote sensing, and satellite data integration.
• Ability to communicate complex analytical concepts to non‑technical audiences.
• Project management skills and a collaborative mindset.

Education

A Bachelor’s degree in Data Science, Computer Science, Agriculture, Agronomy, or a related discipline is required. A Master’s degree or relevant certifications (e.g., GIS, Machine Learning) are highly desirable.

Experience

Minimum five years of professional experience in data analysis, business intelligence, or research, with at least two years focused on agricultural data or related domains. Prior experience in a multinational agribusiness environment is an advantage.

Salary

The compensation package ranges from SSP 1,500,000 to SSP 2,500,000 per annum, commensurate with experience and qualifications. The package includes performance‑based bonuses, health insurance, and retirement benefits.

Benefits

• Comprehensive medical and dental coverage.
• Retirement savings plan with company matching.
• Paid parental and annual leave.
• Professional development allowance.
• Employee assistance program.

Training

• Access to John Deere’s global learning platform for advanced analytics and agronomy courses.
• On‑the‑job training with senior data scientists and agronomists.
• Opportunities to attend international conferences on precision agriculture.

Working Environment

John Deere Malawi offers a modern, inclusive workplace equipped with state‑of‑the‑art technology, collaborative workspaces, and flexible working arrangements. Employees benefit from a supportive culture that encourages innovation, knowledge sharing, and work‑life balance.

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Application Process

Interested candidates should submit an online application through our career portal, attaching a detailed CV and a cover letter outlining relevant experience and motivation. Shortlisted applicants will be invited to complete a technical assessment followed by interviews with the Data & Analytics team and senior leadership.

Equal Opportunity Statement

John Deere Malawi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, or background. All qualified applicants will receive consideration for employment without discrimination.

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