Agricultural Data Analyst: Remote Insights & Growth

Placements24; Gauteng; Hybrid; ZAR 335,000 - 670,000; Full time

Benefits offered by this job

Health insurance

Flexible work

Development opportunities

Cutting-edge tools

Paid time off

Job summary

Placements24 in South Africa is seeking an Agricultural Data Analyst to collect, clean, and analyze large datasets to uncover trends that drive farm management decisions. You will develop reports and dashboards using R or Python, collaborate with agronomists, and help tailor analytical methods to organizational needs.

Some roles may offer remote or hybrid work depending on policy. A bachelor's or master's degree in data science, statistics, or agricultural science is typical, with competitive

Qualifications

• Bachelor's or master's degree in data science, statistics, agricultural science, or a related field.
• Proficiency in data analysis software and programming languages such as R or Python.
• Ability to collect, clean, and analyze large agricultural datasets.

Responsibilities

• Collect, clean, and analyze large agricultural datasets to identify trends.
• Develop reports and visualizations to communicate findings for farm management decisions.
• Build dashboards and reports to visualize KPIs for stakeholders.
• Collaborate with agronomists, farm managers, and researchers to understand data needs.
• Identify opportunities to improve data collection processes and analytics.
• Stay abreast of trends in agricultural tech and data science.

Skills

Data analysis

Dashboarding

Collaboration

Education

Bachelor's or Master's in Data Science/Statistics/Agricultural Science

Tools

R

Python

Job description

Placements24 in South Africa is seeking an Agricultural Data Analyst to collect, clean, and analyze large datasets to uncover trends that drive farm management decisions. You will develop reports and dashboards using R or Python, collaborate with agronomists, and help tailor analytical methods to organizational needs.

Some roles may offer remote or hybrid work depending on policy. A bachelor's or master's degree in data science, statistics, or agricultural science is typical, with competitive