Remote Agricultural Data Analyst

Placements24; George; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Remote salary

Incentives

Flexible hours

Data tools access

Health insurance

Job summary

Placements24 is seeking a highly analytical Remote Agricultural Data Analyst to interpret complex datasets for crop management, yield optimization, and resource efficiency. Work remotely with agronomists, farm managers, and R&D teams across locations to drive data-driven farming insights.

The role requires advanced degrees in data-related fields and 3+ years of experience, with proficiency in Python/R, SQL, and visualization tools.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Agricultural Science or related quantitative field.
• 3+ years of experience as a Data Analyst, preferably in agriculture or environmental science.
• Proficiency in R and Python with Pandas, NumPy, SciPy; SQL for database management.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong analytical, problem-solving, and communication skills; able to work remotely.

Responsibilities

• Collect, clean, and analyze large agricultural datasets from sensors, weather, and yields.
• Develop statistical models and algorithms to identify trends and predict outcomes.
• Create reports, dashboards, and visualizations for technical and non-technical stakeholders.
• Collaborate with cross-functional teams to define data requirements and KPIs.
• Stay updated on agricultural tech, data science, and analysis techniques.
• Provide data-driven recommendations to improve yields and resource efficiency.

Skills

Data analysis

Python

R

SQL

Machine learning concepts

Education

Master's or Ph.D. in Data Science/Statistics/Agricultural Science

Tools

Tableau

Power BI

Pandas

NumPy

SciPy

Job description

Our client is seeking a highly analytical and detail-oriented Remote Agricultural Data Analyst to join their innovative agricultural technology team. This role is crucial for interpreting complex agricultural datasets to provide actionable insights that drive better decision-making in crop management, yield optimization, and resource efficiency. Working entirely remotely, you will collaborate with agronomists, farm managers, and R&D teams across various geographic locations to enhance sustainable farming practices. You will leverage cutting-edge tools and methodologies to transform raw data into strategic intelligence, contributing directly to the company's mission of advancing modern agriculture through data-driven solutions.

Key Responsibilities

• Collect, clean, and analyze large agricultural datasets from various sources, including sensor data, weather patterns, and yield reports.
• Develop and implement statistical models and algorithms to identify trends, predict outcomes, and optimize agricultural processes.
• Create comprehensive reports, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to define data requirements and key performance indicators for agricultural projects.
• Stay abreast of the latest advancements in agricultural technology, data science, and statistical analysis techniques.
• Provide data-driven recommendations for improving crop yields, reducing resource waste, and enhancing farm sustainability.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Agricultural Science with a focus on data analytics, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, preferably within the agriculture or environmental science sector.
• Strong proficiency in statistical software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and database management (SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI) and machine learning techniques.
• Excellent analytical, problem-solving, and communication skills, with the ability to work independently and collaboratively in a remote setting.
• Familiarity with agricultural concepts, farming practices, and precision agriculture technologies is highly desirable.

Benefits

• Competitive remote salary and performance-based incentives.
• Flexible working hours and a fully remote work environment.
• Access to state-of-the-art data analysis tools and platforms.
• Comprehensive health, dental, and vision insurance plans.
• Opportunities for continuous learning, professional development, and attending virtual conferences.