Agricultural Data Analyst Job Vacancy in Harare, Zimbabwe – Agriculture

Job Description

Position: Agricultural Data Analyst

Company: Cargill

Location: Harare, Zimbabwe

Experience: 3-5 years in agricultural data analysis

Education: Bachelor’s degree in Agronomy, Agricultural Economics, Data Science or related field

Employment Type: Full-time

Industry: Agriculture

Department: Data & Analytics

Salary: SSP 250,000 – SSP 400,000 per month

Vacancies:1

Company Overview

Cargill is a global leader in food, agriculture, and risk management, operating in more than 70 countries. In Zimbabwe, Cargill supports farmers, processors, and retailers by providing innovative solutions that improve productivity, sustainability, and market access. The Harare office serves as a hub for regional analytics, research, and strategic planning, contributing to the growth of the agricultural sector across Southern Africa. As part of Cargill’s commitment to local talent, the company invests heavily in employee development, community outreach, and responsible sourcing. This role offers a unique opportunity to be part of a forward‑thinking team that drives data‑informed decisions for farmers and agribusinesses, aligning with the broader mission of feeding the world while supporting Zimbabwe Jobs and Career Opportunities in Zimbabwe.

Job Overview

The Agricultural Data Analyst will collect, clean, and interpret large datasets related to crop yields, weather patterns, market prices, and supply chain logistics. Working closely with agronomists, economists, and IT specialists, the analyst will develop predictive models and visual dashboards that enable stakeholders to make timely, evidence‑based decisions. The role supports Cargill’s strategic initiatives to enhance farm productivity, reduce waste, and improve profitability for partners across Zimbabwe. For more information, visit Zimbabwe Job Search. This position is a key component of our Hiring in Zimbabwe strategy, aimed at strengthening local expertise in data‑driven agriculture.

Key Responsibilities

• Gather and validate agricultural data from field sensors, satellite imagery, and market reports.
• Develop and maintain SQL databases and data pipelines for efficient data storage.
• Create interactive dashboards using Power BI or Tableau to visualize trends.
• Build predictive models to forecast crop yields and price fluctuations.
• Collaborate with agronomists to translate analytical insights into actionable recommendations.
• Prepare regular reports for senior management and external partners.
• Ensure data compliance with Cargill’s governance standards and local regulations.

Required Skills

• Proficiency in SQL, Python or R for data manipulation and analysis.
• Experience with GIS tools and remote sensing data.
• Strong statistical modeling and machine‑learning knowledge.
• Ability to create clear visualizations and dashboards.
• Excellent communication skills for presenting complex findings to non‑technical audiences.
• Understanding of Zimbabwe’s agricultural landscape and market dynamics.
• Attention to detail and strong problem‑solving abilities.

Education

A minimum of a bachelor’s degree in Agronomy, Agricultural Economics, Data Science, Statistics, or a related discipline is required. Advanced degrees or certifications in data analytics are advantageous but not mandatory.

Experience

Candidates should have three to five years of hands‑on experience analyzing agricultural data, preferably within a commercial or research environment. Experience with large‑scale data sets, predictive analytics, and stakeholder engagement is essential.

Salary

The compensation package ranges from SSP 250,000 to SSP 400,000 per month, commensurate with experience and qualifications. The package includes performance‑based bonuses and comprehensive benefits.

Benefits

• Health insurance covering medical, dental, and vision.
• Retirement savings plan with company matching.
• Paid parental and annual leave.
• Employee assistance program and wellness initiatives.
• Professional development allowance for courses and certifications.
• Transportation allowance for commuting within Harare.

Training

• On‑boarding program covering Cargill’s data platforms and agricultural products.
• Continuous learning workshops on advanced analytics and machine learning.
• Mentorship pairing with senior data scientists.
• Access to online learning portals for skill enhancement.

Working Environment

The role is based in a modern office in Harare’s central business district, featuring collaborative workspaces, high‑speed internet, and state‑of‑the‑art analytical tools. Cargill promotes a culture of inclusion, innovation, and sustainability, encouraging employees to contribute ideas that drive both business success and community impact. Flexible working arrangements are available to support work‑life balance.

Application Process

Interested candidates should submit an online application through the Cargill careers portal, attaching a current résumé and a cover letter outlining relevant experience. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a virtual interview followed by an on‑site assessment in Harare.

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, disability, or any other protected characteristic. Our hiring practices support Employment in Zimbabwe and strive to provide fair access to all qualified applicants.