Remote Agricultural Data Analyst: Farming Insights

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 350,000 - 600,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonuses

Fully remote work arrangement

Cutting-edge data tools

Growth opportunities

Job summary

Placements24 is seeking a skilled Remote Agricultural Data Analyst to join its innovative agri-tech team, working from anywhere in South Africa. You will transform raw agricultural data into insights that drive farming decisions, analyzing crop yields, weather patterns, soil conditions, and market trends.

You will create reports and dashboards using Python, R, SQL, Tableau or Power BI, collaborate with agronomists and product teams, and ensure data integrity and privacy while supporting

Qualifications

• Bachelor's or Master's degree in a quantitative field (Data Science, Statistics, Agricultural Economics, Agronomy)
• Proven experience as a Data Analyst, preferably in agriculture
• Strong proficiency in Python, R and SQL
• Experience with data visualization tools Tableau or Power BI and statistical modeling
• Excellent analytical and communication skills
• Ability to work effectively in a remote team environment

Responsibilities

• Collect, clean, and process large datasets from sensors, satellites, and farm software
• Perform statistical analysis and develop predictive models to forecast yields and optimize resources
• Create reports, visualizations, and dashboards for stakeholders
• Collaborate with agronomists, farmers and product teams to understand data needs
• Identify trends to support strategic decision-making
• Ensure data integrity and privacy in all analyses

Skills

Data analysis

Python

R

SQL

Statistical modeling

Communication

Remote collaboration

Education

Bachelor's or Master's in Data Science, Statistics, Agricultural Economics, Agronomy

Tools

Tableau

Power BI

Job description

Placements24 is seeking a skilled Remote Agricultural Data Analyst to join its innovative agri-tech team, working from anywhere in South Africa. You will transform raw agricultural data into insights that drive farming decisions, analyzing crop yields, weather patterns, soil conditions, and market trends.

You will create reports and dashboards using Python, R, SQL, Tableau or Power BI, collaborate with agronomists and product teams, and ensure data integrity and privacy while supporting