Agricultural Data Analyst

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

About the Role

Our client is seeking a highly analytical and dedicated Agricultural Data Analyst to join their remote team, supporting operations across various agricultural sectors. In this pivotal role, you will leverage your expertise in data interpretation and agricultural science to extract actionable insights from complex datasets. You will work collaboratively with stakeholders to drive informed decision-making, optimize farming practices, and enhance overall agricultural productivity. This is a unique opportunity for a data-driven professional passionate about the intersection of technology and agriculture, to make a significant impact on sustainable farming and food production from a remote work environment.

Key Responsibilities

• Collect, clean, and analyze large agricultural datasets, including crop yields, weather patterns, soil conditions, and market trends.


• Develop and implement statistical models and algorithms to identify key performance indicators and predict future outcomes.


• Create comprehensive reports, visualizations, and dashboards to communicate findings to non-technical stakeholders.


• Provide data-driven recommendations for improving crop management, resource allocation, and operational efficiency.


• Collaborate with agronomists and farm managers to understand their data needs and challenges, offering tailored analytical solutions.


• Stay abreast of the latest advancements in agricultural technology and data analytics techniques.

Requirements

• Bachelor's or Master's degree in Agriculture, Data Science, Statistics, or a related quantitative field.


• Proven experience as a Data Analyst, preferably within the agricultural sector .


• Proficiency in data analysis tools such as R, Python (with libraries like Pandas, NumPy, Scikit-learn), or similar.


• Strong understanding of statistical modeling, machine learning techniques, and data visualization tools (e.g., Tableau, Power BI).


• Excellent communication skills with the ability to explain complex data findings clearly and concisely.


• Familiarity with remote collaboration tools and methodologies.

Benefits

• Competitive annual salary.


• Comprehensive health, dental, and vision insurance.


• Generous paid time off and holidays.


• Professional development opportunities and training budgets.


• Flexible remote work environment with a focus on work-life balance.