Senior Agricultural Data Analyst Job Vacancy in Vacoas, Mauritius – Agriculture & AgTech

Job Description

Position: Senior Agricultural Data Analyst

Company: Bayer Mauritius

Location: Vacoas, Mauritius

Experience: 5+ years of experience in data analysis, preferably within the agricultural sector

Education: Master’s degree in Data Science, Agriculture, Agronomy, or a related field

Employment Type: Full-time

Industry: Agriculture & AgTech

Department: Data & Analytics

Salary: SSP 850,000 – 1,150,000 per annum

Vacancies:1

Company Overview

Bayer Mauritius is a leading global life sciences company with a strong presence in the island nation, dedicated to improving agricultural productivity and sustainability. With a commitment to innovation, Bayer supports local farmers through cutting‑edge seed technologies, crop protection solutions, and digital farming tools. As part of Bayer’s worldwide network, the Mauritius office plays a pivotal role in translating global research into actionable insights for the region’s unique agro‑ecological conditions. This is an exciting time to join a company that values scientific excellence, environmental stewardship, and the empowerment of agricultural communities across Mauritius.

Job Overview

The Senior Agricultural Data Analyst will lead the collection, integration, and interpretation of large‑scale agricultural datasets to drive data‑informed decisions for Bayer’s local and regional initiatives. Working closely with agronomists, research scientists, and digital product teams, you will transform raw data into actionable intelligence that enhances crop yields, optimizes input usage, and supports sustainable farming practices. This role is central to Bayer’s mission of delivering innovative solutions that address the challenges of food security and climate resilience in Mauritius. For more information about Bayer’s commitment to sustainable agriculture, visit https://mauritiusjobsearch.com/.

Key Responsibilities

• Design, develop, and maintain robust data pipelines that ingest field sensor data, satellite imagery, weather forecasts, and farm management records.
• Perform advanced statistical analyses and machine‑learning modeling to predict crop performance, disease risk, and optimal input schedules.
• Collaborate with agronomy experts to validate model outputs and ensure relevance to local farming practices.
• Generate clear, visual dashboards and reports for internal stakeholders and external farmer partners.
• Lead data‑quality initiatives, establishing standards for accuracy, completeness, and timeliness of agricultural datasets.
• Support the development of digital farming platforms by providing data‑driven insights and algorithmic recommendations.
• Stay abreast of emerging technologies in precision agriculture, big data, and AI, recommending innovative approaches to enhance Bayer’s product portfolio.

Required Skills

• Proficiency in SQL, Python, or R for data manipulation and analysis.
• Experience with GIS tools (e.g., QGIS, ArcGIS) and remote sensing data processing.
• Strong knowledge of statistical modeling, time‑series analysis, and machine‑learning techniques.
• Ability to translate complex data findings into clear, actionable recommendations for non‑technical audiences.
• Excellent communication and stakeholder‑management skills.
• Familiarity with agricultural practices, crop cycles, and agronomic terminology in the Mauritian context.

Education

A Master’s degree in Data Science, Statistics, Computer Science, Agronomy, Agricultural Engineering, or a closely related discipline is required. Relevant certifications in data analytics, GIS, or precision agriculture are advantageous.

Experience

Minimum of five years of professional experience in data analysis, with at least two years focused on agricultural or environmental datasets. Demonstrated success in delivering data‑driven solutions that improve farm productivity or sustainability is essential.

Salary

The competitive salary range for this position is SSP 850,000 to SSP 1,150,000 per year, commensurate with experience and qualifications. Performance‑based bonuses and incentive schemes are also part of the compensation package.

Benefits

• Comprehensive health and dental coverage.
• Retirement savings plan with employer contributions.
• Generous paid leave, including annual, sick, and parental leave.
• Professional development budget for certifications, conferences, and training.
• Employee assistance program and wellness initiatives.

Training

• Onboarding program covering Bayer’s agricultural solutions, data infrastructure, and compliance standards.
• Continuous learning opportunities in advanced analytics, AI, and precision farming technologies.
• Mentorship from senior scientists and data engineers within Bayer’s global network.

Working Environment

Bayer Mauritius offers a collaborative, inclusive, and innovative workplace where multidisciplinary teams work together to solve real‑world challenges. The office is located in a modern business park in Vacoas, equipped with state‑of‑the‑art workstations, meeting rooms, and a dedicated data lab. Flexible working arrangements, including remote work options, are supported to promote work‑life balance.

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 candidates will be invited for a virtual interview followed by an on‑site assessment.

Equal Opportunity Statement

Bayer Mauritius is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, age, disability, ethnicity, religion, or sexual orientation. Our hiring practices reflect our dedication to fairness and meritocracy.