Precision Agriculture Data Analyst Job Vacancy in Sfax, Tunisia – Agriculture

Job Description

Position:Precision Agriculture Data Analyst

Company:Cargill

Location:Sfax, Tunisia

Experience:2-4 years

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

Employment Type:Full-time

Industry:Agriculture

Department:Data & Analytics

Salary:SSP 2,500 – 3,500 per month

Vacancies:1

Company Overview

Cargill is a global leader in food, agriculture, and risk management, operating in more than 70 countries. In Tunisia, Cargill has established a robust presence in the agribusiness sector, supporting local farmers with innovative solutions that enhance productivity, sustainability, and market access. The company’s commitment to responsible sourcing, cutting‑edge technology, and community development makes it a premier employer for professionals seeking to make a tangible impact on the agricultural landscape of Tunisia. As part of its strategic growth plan, Cargill continues to invest in data‑driven initiatives that empower growers, optimize supply chains, and contribute to food security across the region. This environment offers unparalleled Career Opportunities in Tunisia for individuals passionate about leveraging data to transform agriculture.

Job Overview

The Precision Agriculture Data Analyst will join Cargill’s Data & Analytics department in Sfax, playing a pivotal role in collecting, processing, and interpreting large datasets generated from satellite imagery, IoT sensors, and farm management software. The analyst will collaborate with agronomists, engineers, and field teams to develop actionable insights that improve crop yields, reduce resource waste, and support sustainable farming practices. This position is central to Cargill’s mission of delivering innovative, data‑powered solutions to Tunisian growers, and it directly contributes to the broader goal of enhancing Employment in Tunisia through advanced agritech. For more information about Cargill’s presence in Tunisia, visit https://tunisiajobsearch.com/. Candidates will be part of a dynamic team that values curiosity, analytical rigor, and a commitment to continuous improvement, making this a prime example of Hiring in Tunisia.

Key Responsibilities

• Collect and integrate data from satellite platforms, drone surveys, soil sensors, and weather stations.
• Clean, validate, and transform raw datasets into structured formats suitable for analysis.
• Develop predictive models to forecast crop performance, disease risk, and irrigation needs.
• Generate visual dashboards and reports that translate complex analytics into clear recommendations for farmers.
• Collaborate with agronomy experts to align analytical outputs with practical field interventions.
• Monitor data quality and implement automated pipelines to ensure timely delivery of insights.
• Support the development of new data products and services aimed at expanding Cargill’s agritech portfolio in Tunisia.

Required Skills

• Proficiency in Python or R for data manipulation, statistical analysis, and machine learning.
• Experience with GIS tools (e.g., QGIS, ArcGIS) and remote sensing data processing.
• Strong understanding of agricultural practices, crop cycles, and agronomic variables.
• Ability to design and maintain ETL workflows using tools such as Apache Airflow or Azure Data Factory.
• Excellent communication skills to convey technical findings to non‑technical stakeholders.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for scalable data storage and computation.
• Attention to detail and a problem‑solving mindset.

Education

A minimum of a Bachelor’s degree in Data Science, Computer Science, Agricultural Engineering, Agronomy, or a related discipline is required. Advanced degrees or certifications in machine learning, GIS, or precision agriculture are advantageous.

Experience

Applicants should have 2‑4 years of hands‑on experience in data analysis, preferably within the agricultural sector or a related field such as environmental science or geospatial analytics. Demonstrated experience with large‑scale datasets and predictive modeling is essential.

Salary

The compensation package ranges from SSP 2,500 to SSP 3,500 per month, commensurate with experience and expertise. The package includes performance‑based bonuses, health insurance, and a retirement savings plan.

Benefits

• Comprehensive health and dental coverage.
• Paid annual leave and public holidays.
• Professional development budget for certifications and conferences.
• Employee assistance program and wellness initiatives.
• Opportunities for international assignments and cross‑functional projects.

Training

• Onboarding program covering Cargill’s agritech platforms and data governance policies.
• Continuous learning workshops on advanced analytics, machine learning, and GIS techniques.
• Mentorship pairing with senior data scientists and agronomists.

Working Environment

Cargill’s Sfax office offers a collaborative, technology‑focused workspace equipped with modern analytics tools, high‑speed internet, and flexible seating arrangements. Employees benefit from a culture that encourages innovation, knowledge sharing, and a healthy work‑life balance. The role may involve occasional field visits to farms and research stations across Tunisia, providing a unique blend of office‑based and on‑site experiences.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal on the Cargill Careers page. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited to complete a technical assessment followed by virtual interviews with the hiring team.

Equal Opportunity Statement

Cargill is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. This job posting reflects our dedication to fostering a workplace where every individual can thrive.