Agricultural Data Analyst - Farm Productivity Solutions

Placements24; Polokwane; Híbrido; ZAR 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary package

Health insurance

Retirement savings plan

Descripción de la vacante

Placements24 in Polokwane, Limpopo is seeking an experienced Agricultural Data Analyst to harness diverse agricultural data streams from sensors, weather stations, and yield monitors to drive farm productivity and sustainability.

You will build models, visualize findings, and present actionable insights to farmers and agronomists. A strong quantitative background and proficiency in R/Python/SQL are essential, with 5+ years in agricultural data analysis.

Formación

• Bachelor's degree in Data Science, Statistics, Computer Science, Agricultural Science, or a related quantitative field.
• Master's degree preferred.
• Minimum of 5 years of experience in data analysis, with a focus on agricultural data or related fields.

Responsabilidades

• Collect, clean, and process large agricultural datasets from diverse sources (e.g., sensors, IoT devices, machinery, weather stations, satellite imagery).
• Perform statistical analysis on farm data to identify trends, patterns, and correlations related to crop yield, soil health, and resource efficiency.
• Develop and implement data models and algorithms to predict crop performance, disease risk, and optimal input application.
• Create clear and concise data visualizations, reports, and dashboards to communicate findings to stakeholders, including farmers and agronomists.
• Identify key performance indicators (KPIs) for farm operations and track progress towards targets.
• Collaborate with the product development team to enhance data collection tools and analytical capabilities.
• Provide insights and recommendations to support strategic decision-making in farm management.
• Ensure data integrity, accuracy, and security throughout the analysis process.
• Stay updated on the latest advancements in agricultural data science, machine learning, and relevant software.
• Assist in the development of data-driven solutions for optimizing irrigation, fertilization, and pest management.

Conocimientos

Statistical analysis

Data visualization

Python

R

SQL

GIS concepts

Educación

Bachelor's degree in Data Science/Statistics/CS/Agri Science

Master's degree preferred

Herramientas

Tableau

Power BI

ggplot2

GIS software

Descripción del empleo

About the Role

Our client, a forward-thinking agricultural technology company, is seeking an experienced Agricultural Data Analyst to join their team in **Polokwane, Limpopo**. This role focuses on collecting, analyzing, and interpreting complex agricultural datasets to provide actionable insights that drive farm productivity and sustainability. You will work with data from various sources, including sensors, machinery, yield monitors, and weather stations, to identify trends, optimize resource allocation, and improve decision-making for farmers. The ideal candidate will have a strong quantitative background, a passion for agriculture, and expertise in data analysis tools and methodologies. This position offers a significant opportunity to contribute to the modernization of agriculture in the **Limpopo** province.

Key Responsibilities

Collect, clean, and process large agricultural datasets from diverse sources (e.g., sensors, IoT devices, machinery, weather stations, satellite imagery). Perform statistical analysis on farm data to identify trends, patterns, and correlations related to crop yield, soil health, and resource efficiency. Develop and implement data models and algorithms to predict crop performance, disease risk, and optimal input application. Create clear and concise data visualizations, reports, and dashboards to communicate findings to stakeholders, including farmers and agronomists. Identify key performance indicators (KPIs) for farm operations and track progress towards targets. Collaborate with the product development team to enhance data collection tools and analytical capabilities. Provide insights and recommendations to support strategic decision-making in farm management. Ensure data integrity, accuracy, and security throughout the analysis process. Stay updated on the latest advancements in agricultural data science, machine learning, and relevant software. Assist in the development of data-driven solutions for optimizing irrigation, fertilization, and pest management.

Requirements

Bachelor's degree in Data Science, Statistics, Computer Science, Agricultural Science, or a related quantitative field. Master's degree preferred. Minimum of 5 years of experience in data analysis, with a focus on agricultural data or related fields. Proficiency in statistical programming languages such as R, Python, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2). Strong understanding of agricultural concepts, crop physiology, and farming practices. Experience with GIS software and spatial data analysis is a plus. Knowledge of machine learning techniques and their application in agriculture is advantageous. Excellent analytical, critical thinking, and problem-solving skills. Strong communication and presentation skills, with the ability to explain complex data findings to non-technical audiences. Ability to work both independently and collaboratively within a team.

Benefits

Our client offers a competitive salary package, including potential for performance-based incentives. Comprehensive health insurance and retirement savings plan are provided. Opportunities for professional development, including advanced training in data science and agricultural technology, are available. Generous paid time off and flexible working arrangements are part of the package. This role is based in **Polokwane, Limpopo**, offering a chance to impact agricultural practices in a key growing region.