Remote Agricultural Data Analyst: Drive Yields & Efficiency

Placements24; Welkom; Hybrid; ZAR 420,000 - 780,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonuses

Remote work setup

Flexible hours

Paid time off

Professional development opportunities

Job summary

Placements24 is seeking a highly analytical and motivated Remote Agricultural Data Analyst to support diverse agricultural ventures with data-driven insights. You\'ll translate complex datasets into actionable recommendations to boost yields, optimize resource use, and improve farm efficiency.

Working remotely, you will leverage Python, R, SQL, and visualization tools to build models, dashboards, and reports for stakeholders, collaborating with agronomists and software teams to implement

Qualifications

• Bachelor's or Master's in data science, statistics, agricultural science, CS or related field.
• Proven experience as a Data Analyst in agriculture preferred.
• Strong Python (Pandas, NumPy, Scikit-learn) or R skills.
• SQL and data warehousing knowledge.
• Experience with Tableau or Power BI for visualization.

Responsibilities

• Collect, clean, and process large agricultural datasets.
• Develop statistical models and ML algorithms to identify trends and correlations.
• Create visualizations, dashboards, and reports for stakeholders.
• Provide data-driven recommendations for planting, irrigation, fertilization and harvesting strategies.
• Collaborate with agronomists, farm managers, and software developers to integrate insights into systems.
• Monitor KPIs and provide regular performance analysis.
• Stay current with advancements in agricultural analytics methodologies.

Skills

Data analysis

Python

R

SQL

Tableau

Power BI

Communication

Education

Bachelor's or Master's in data-related field

Tools

Tableau

Power BI

Job description

Placements24 is seeking a highly analytical and motivated Remote Agricultural Data Analyst to support diverse agricultural ventures with data-driven insights. You\'ll translate complex datasets into actionable recommendations to boost yields, optimize resource use, and improve farm efficiency.

Working remotely, you will leverage Python, R, SQL, and visualization tools to build models, dashboards, and reports for stakeholders, collaborating with agronomists and software teams to implement