Remote Agricultural Data Analyst

Placements24; Midrand; Hybrid; ZAR 420,000 - 620,000; Full time

Benefits offered by this job

Performance-based bonuses

Professional development

Flexible remote work

Job summary

Placements24 is seeking a proactive Remote Agricultural Data Analyst to transform crop, soil, weather, and market data into actionable insights from a home office in or around Midrand. You will collect, clean, and analyze diverse datasets, build predictive models, and develop dashboards for stakeholders across farming operations.

Excellent remote communication and collaboration are essential. The role emphasizes innovation in data-driven farming, sustainability, and scalable analytics, with

Qualifications

• Bachelor's or Master's degree in Agriculture, Data Science, Statistics, Computer Science, or related field.
• Experience as a Data Analyst, preferably in agriculture or related science.
• Proficiency in Python (Pandas, NumPy, Scikit-learn) or R.
• Experience with SQL and data visualization tools like Tableau or Power BI.
• Strong understanding of statistical methods and ML algorithms for agricultural applications.
• Excellent communication and remote collaboration skills.

Responsibilities

• Collect, clean, and process large agricultural datasets from diverse sources (sensors, satellite imagery, farm software).
• Perform statistical analysis and build predictive models to forecast yields, disease outbreaks, and planting times.
• Develop and maintain dashboards/reports to communicate findings to farmers and management.
• Identify trends and opportunities to improve resource allocation and efficiency in operations.
• Collaborate virtually with agronomists, researchers, and farm managers to deliver tailored analytics.
• Stay updated on agricultural tech, data analytics, and remote sensing advances.

Skills

Python

R

SQL

Data Visualization

Statistical Methods

Data Analysis

Machine Learning

Education

Bachelor's/Master's in Agriculture/Data Science/Statistics/CS

Tools

Tableau

Power BI

Jupyter

Job description

About the Role

Our client is seeking a proactive and detail-oriented Remote Agricultural Data Analyst to join their innovative team. This role is pivotal in leveraging data to enhance agricultural productivity, sustainability, and decision-making across various farming operations. You will work remotely, analyzing vast datasets related to crop yields, soil health, weather patterns, and market trends to provide actionable insights. This position offers a unique opportunity to shape the future of agriculture through data-driven strategies, contributing to a more efficient and sustainable food system from your home office in or around Midrand .

Key Responsibilities

• Collect, clean, and process large agricultural datasets from diverse sources, including sensors, satellite imagery, and farm management software.
• Perform statistical analysis and build predictive models to forecast crop yields, disease outbreaks, and optimal planting/harvesting times.
• Develop and maintain data visualization dashboards and reports to communicate complex findings clearly to stakeholders, including farmers and management.
• Identify trends, anomalies, and opportunities within agricultural data to recommend strategic improvements in resource allocation and operational efficiency.
• Collaborate virtually with agronomists, researchers, and farm managers to understand their data needs and deliver tailored analytical solutions.
• Stay abreast of the latest advancements in agricultural technology, data analytics, and remote sensing techniques.

Requirements

• Bachelor's or Master's degree in Agriculture, Data Science, Statistics, Computer Science, or a related field.
• Proven experience as a Data Analyst, preferably within the agriculture sector or a related scientific domain.
• Proficiency in data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Experience with SQL and database management, as well as data visualization tools like Tableau or Power BI.
• Strong understanding of statistical methods and machine learning algorithms relevant to agricultural applications.
• Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences in a remote setting.

Benefits

• Competitive annual salary and performance-based bonuses.
• Flexible remote working arrangements with a focus on work-life balance.
• Opportunities for professional development and continuous learning in cutting-edge agricultural technology.
• Access to advanced analytical tools and datasets.
• Contribution to sustainable agriculture and food security initiatives.