Remote Agricultural Data Analyst for Farm Insights

Placements24; Pietermaritzburg; Hybrid; ZAR 370,000 - 550,000; Full time

Benefits offered by this job

Competitive annual salary

Health, dental, and vision insurance

Flexible remote work environment

Professional development opportunities

Job summary

Placements24 seeks an Agricultural Data Analyst to join a remote team supporting operations across agricultural sectors. You will interpret data, extract actionable insights, and drive decisions to optimize farming practices and productivity.

The role emphasizes statistical modeling, data visualization, and collaboration with agronomists to tailor analytical solutions while staying current with agricultural technology trends.

Qualifications

• Bachelor's or Master's degree in Agriculture, Data Science, Statistics, or a related quantitative field.
• Proven experience as a Data Analyst, preferably within agriculture.
• Proficiency in R and Python (Pandas, NumPy, Scikit-learn) for data analysis.
• Strong statistical modeling and data visualization skills.
• Excellent communication to explain findings to non-technical stakeholders.
• Familiarity with remote collaboration tools and methodologies.

Responsibilities

• Collect, clean, and analyze large agricultural datasets across yields, weather, soil, and trends.
• Develop statistical models and algorithms to identify KPIs and predict outcomes.
• Create reports, visualizations, and dashboards for non-technical stakeholders.
• Provide data-driven recommendations to improve crop management and efficiency.
• Collaborate with agronomists and farm managers to understand data needs.
• Stay updated on new agricultural tech and data analytics techniques.

Skills

Data analysis

Python

R

Pandas

Statistics

Data visualization

Education

Bachelor's or Master's in Agriculture / Data Science

Tools

Tableau

Power BI

Job description

Placements24 seeks an Agricultural Data Analyst to join a remote team supporting operations across agricultural sectors. You will interpret data, extract actionable insights, and drive decisions to optimize farming practices and productivity.

The role emphasizes statistical modeling, data visualization, and collaboration with agronomists to tailor analytical solutions while staying current with agricultural technology trends.