Job Description
Position: Agricultural Data Analyst
Company: Syngenta Sudan Ltd.
Location: Nyala, Sudan
Experience: 2-4 years
Education: Bachelor’s degree in Agronomy, Data Science, Statistics, or related field
Employment Type: Full-time
Industry: Agriculture
Department: Data & Insights
Salary: SSP 180,000 – 250,000 per month
Vacancies:1
Company Overview
Syngenta Sudan Ltd. is a leading global agribusiness company dedicated to sustainable agriculture and food security across the African continent. With a strong presence in Sudan since 2005, Syngenta has partnered with local farmers, research institutions, and government agencies to deliver innovative seed technologies, crop protection solutions, and digital tools that increase productivity and resilience. Operating from multiple regional hubs, the company supports a wide range of crops, including sorghum, wheat, and cotton, which are vital to Sudan’s economy. As part of its commitment to the Sudanese market, Syngenta invests heavily in research and development, farmer training programs, and community outreach, creating a robust ecosystem that drives growth and employment. This dynamic environment offers abundant Sudan Jobs and is recognized as a top employer for those seeking career opportunities in Sudan’s agricultural sector.
Job Overview
The Agricultural Data Analyst will play a pivotal role in transforming raw field data into actionable insights that empower farmers, agronomists, and business leaders to make data‑driven decisions. Reporting to the Head of Data & Insights, the analyst will collaborate with cross‑functional teams to collect, clean, and analyze datasets related to crop performance, soil health, weather patterns, and input usage. The role involves developing predictive models, visual dashboards, and detailed reports that support Syngenta’s mission of improving yields and sustainability. Candidates will have the opportunity to work with cutting‑edge analytics platforms and contribute to projects that directly impact the agricultural landscape of Sudan. For more information about Syngenta’s vision and other career opportunities, visit https://sudanjobsearch.com/. This position is a prime example of Jobs in Sudan that combine technology with agriculture, offering a rewarding pathway for professionals eager to make a difference.
Key Responsibilities
- Collect, validate, and integrate data from field trials, satellite imagery, and IoT sensors across multiple regions.
- Develop and maintain interactive dashboards using tools such as Power BI or Tableau to visualize key performance indicators.
- Perform statistical analyses and build predictive models to forecast crop yields, disease risk, and input efficiency.
- Collaborate with agronomists and product specialists to translate analytical findings into practical recommendations for farmers.
- Prepare comprehensive reports and presentations for internal stakeholders and external partners.
- Ensure data quality, security, and compliance with company standards and local regulations.
- Stay updated on emerging agricultural technologies and data science methodologies to continuously improve analytical processes.
Required Skills
- Proficiency in statistical software (R, Python, SAS) and data visualization tools.
- Strong understanding of agricultural concepts, crop cycles, and agronomic practices.
- Experience with GIS, remote sensing, and satellite data is highly desirable.
- Excellent problem‑solving abilities and attention to detail.
- Effective communication skills to convey complex data insights to non‑technical audiences.
- Ability to work independently and as part of a multidisciplinary team.
Education
A Bachelor’s degree in Agronomy, Data Science, Statistics, Agricultural Engineering, or a related discipline is required. Advanced degrees or certifications in data analytics, GIS, or agricultural economics are considered a strong advantage.
Experience
Applicants 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 food security. Experience with large datasets, predictive modeling, and stakeholder engagement is essential.
Salary
The compensation package ranges from SSP 180,000 to SSP 250,000 per month, commensurate with experience and qualifications. The package includes performance‑based bonuses and other incentives aligned with company goals.
Benefits
- Comprehensive health insurance covering employee and dependents.
- Retirement savings plan with company matching contributions.
- Paid annual leave and public holidays in accordance with Sudanese labor law.
- Transportation allowance for commuting to the Nyala office.
- Access to employee assistance programs and wellness initiatives.
Training
- On‑boarding program covering Syngenta’s agricultural solutions and data platforms.
- Continuous professional development workshops on advanced analytics, machine learning, and agronomy.
- Opportunities to attend international conferences and webinars related to agriculture and data science.
Working Environment
Syngenta Sudan offers a collaborative and innovative workplace where diversity of thought is celebrated. The Nyala office provides modern facilities, high‑speed internet, and a supportive culture that encourages knowledge sharing. Employees benefit from a balanced mix of office‑based analysis and occasional field visits to partner farms, fostering a deep connection with the agricultural community.
Application Process
Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal on our website. Applications will be reviewed on a rolling basis, and shortlisted applicants will be invited for a virtual interview followed by a practical assessment. Please ensure all documents are uploaded in PDF format.
Equal Opportunity Statement
Syngenta Sudan Ltd. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, ethnicity, religion, or disability. Our hiring practices reflect our dedication to fairness and the belief that a diverse workforce drives innovation and success.