Job Description
Position:Precision Agriculture Data Analyst
Company:Carthage Agritech
Location:Kairouan, Tunisia
Experience:3-5 years in data analysis, preferably in agriculture
Education:Bachelor’s degree in Data Science, Agronomy, or related field
Employment Type:Full-time
Industry:Agriculture & Agritech
Department:Data Science
Salary:SSP 45,000 – 55,000 per annum
Vacancies:1
Company Overview
Carthage Agritech is a leading innovator in sustainable farming solutions across North Africa. Established in 2010, the company combines cutting‑edge technology with deep agronomic expertise to help Tunisian farmers increase yields while preserving natural resources. With a strong presence in Kairouan, Carthage Agritech operates research farms, a state‑of‑the‑art data centre, and a network of field consultants who work closely with local cooperatives. The company’s mission is to transform traditional agriculture into a data‑driven, environmentally responsible sector, positioning Tunisia as a model for modern agritech in the Mediterranean.
As part of its rapid expansion, Carthage Agritech invests heavily in talent acquisition, offering career opportunities that blend scientific rigor with practical impact. The organization values diversity, continuous learning, and a collaborative spirit, encouraging employees to contribute ideas that shape the future of food security. By joining Carthage Agritech, professionals become part of a forward‑thinking team that directly supports the nation’s agricultural resilience and economic growth.
Our commitment to innovation is reflected in partnerships with international research institutes, participation in EU‑funded projects, and the development of proprietary algorithms that optimize irrigation, fertilization, and pest management. This dynamic environment creates a fertile ground for professionals seeking meaningful work that aligns with Tunisia Jobs, Jobs in Tunisia, and broader Career Opportunities in Tunisia.
Job Overview
The Precision Agriculture Data Analyst will play a pivotal role in transforming raw field data into actionable insights for farmers and agronomists. Working within the Data Science department, you will collaborate with engineers, agronomists, and software developers to design, implement, and maintain analytical models that drive decision‑making on the ground. This position offers the chance to influence large‑scale agricultural practices, improve resource efficiency, and contribute to sustainable food production across the region. For more information about our company culture and values, visit our website at https://tunisiajobsearch.com/.
Key Responsibilities
- Collect, clean, and integrate data from IoT sensors, satellite imagery, and farm management systems.
- Develop predictive models for crop yield, water usage, and disease risk using machine learning techniques.
- Collaborate with agronomists to validate model outputs and refine algorithms based on field feedback.
- Create interactive dashboards and visual reports for stakeholders to monitor farm performance.
- Automate data pipelines to ensure real‑time analytics and reduce manual processing time.
- Document methodologies, maintain code repositories, and ensure compliance with data governance standards.
Required Skills
- Proficiency in Python or R, with experience in libraries such as pandas, scikit‑learn, and TensorFlow.
- Strong understanding of statistical analysis, time‑series forecasting, and geospatial data.
- Familiarity with agricultural datasets, remote sensing, and precision farming concepts.
- Ability to translate complex analytical results into clear, actionable recommendations.
- Excellent problem‑solving skills and attention to detail.
- Effective communication and teamwork abilities, especially when working with non‑technical partners.
Education
A minimum of a Bachelor’s degree in Data Science, Computer Science, Agronomy, Agricultural Engineering, or a related discipline is required. A Master’s degree or relevant certifications in machine learning or GIS will be considered an advantage.
Experience
Applicants should have 3‑5 years of professional experience in data analysis, preferably within the agriculture or environmental sector. Experience with cloud platforms (AWS, Azure) and big‑data tools (Spark, Hadoop) is highly desirable.
Salary
The compensation package ranges from SSP 45,000 to SSP 55,000 annually, commensurate with experience and expertise. Performance‑based bonuses and profit‑sharing options are also part of the total rewards.
Benefits
- Comprehensive health insurance covering medical, dental, and vision.
- Paid annual leave and public holidays in accordance with Tunisian labor law.
- Retirement savings plan with employer contributions.
- Flexible working hours and remote work options for data‑centric tasks.
- Employee stock ownership program to share in company growth.
Training
- On‑boarding program covering agritech fundamentals and company tools.
- Continuous learning budget for certifications, workshops, and conferences.
- Mentorship pairing with senior data scientists and agronomists.
- Access to internal knowledge base and quarterly innovation hackathons.
Working Environment
Carthage Agritech offers a modern office in Kairouan equipped with high‑speed internet, collaborative workspaces, and a relaxed atmosphere that encourages creativity. Employees have the flexibility to spend part of their week in the field, gathering data and interacting directly with farmers, fostering a deep connection between analytics and real‑world impact.
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 applicants will be invited for a virtual interview followed by a technical assessment.
Equal Opportunity Statement
Carthage Agritech 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. Our hiring practices support Employment in Tunisia and promote fair access to career growth.