Remote Agricultural Data Analyst

Placements24; Bloemfontein; Hybrid; ZAR 979,000 - 1,632,000; Full time

Benefits offered by this job

Fully remote work environment

Flexible hours

Professional development opportunities

Collaborative team culture

Job summary

Placements24 is seeking a sharp and analytical Remote Agricultural Data Analyst to transform raw data into actionable insights for the agricultural sector. This fully remote role collects, processes, and analyzes datasets on crop performance, environmental conditions, market trends, and farm operations.

You will build dashboards, generate reports, and present findings to stakeholders to support informed decisions that boost yields and profitability while staying current with ML trends in

Qualifications

• Bachelor's degree in a quantitative field (data science, stats, or related).
• 3+ years data analysis experience, preferably with agricultural data.
• Strong SQL skills for data extraction and manipulation.
• Experience with Tableau, Power BI, or Qlik.
• Experience with Python or R for analytics.

Responsibilities

• Collect, clean, and organize large datasets from diverse agricultural sources.
• Perform statistical analysis and modeling to identify trends.
• Develop and maintain dashboards and reports using data visualization tools.
• Provide data-driven recommendations to improve yields and efficiency.
• Collaborate with agronomists and farm managers to understand data needs.
• Stay current with trends in agricultural data analytics and ML.

Skills

SQL proficiency

Data visualization

Statistical analysis

Analytical thinking

Communication skills

Education

Data Science

Statistics

Agricultural Economics

Tools

Tableau

Power BI

Qlik

Job description

About the Role

Our client is seeking a sharp and analytical Remote Agricultural Data Analyst to join their growing team and play a key role in transforming raw data into actionable insights for the agricultural sector. This fully remote position involves collecting, processing, and analyzing vast datasets related to crop performance, environmental conditions, market trends, and operational efficiency. You will develop dashboards, generate reports, and present findings to stakeholders, enabling informed decision-making for enhanced farm management and profitability. This is an ideal opportunity for a data-driven professional to make a significant impact on agricultural innovation from anywhere in the world, contributing to smarter farming practices.

Key Responsibilities

• Collect, clean, and organize large datasets from diverse agricultural sources, including sensors, IoT devices, and operational records.


• Perform statistical analysis and modeling to identify trends, patterns, and correlations in agricultural data.


• Develop and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively.


• Provide data-driven recommendations to improve crop yields, resource management, and operational efficiency.


• Collaborate with agronomists, farm managers, and other stakeholders to understand their data needs and provide analytical support.


• Stay current with emerging trends and technologies in agricultural data analytics and machine learning.

Requirements

• Bachelor's degree in Data Science, Statistics, Agricultural Economics, Computer Science, or a related quantitative field.


• Minimum of 3 years of experience in data analysis, with a focus on agricultural data being a strong plus.


• Proficiency in SQL for data extraction and manipulation.


• Experience with data visualization tools (e.g., Tableau, Power BI, Qlik) and statistical software (e.g., R, Python with libraries like Pandas, NumPy).


• Strong analytical and problem-solving skills with meticulous attention to detail.


• Excellent communication skills, with the ability to convey complex data insights to non-technical audiences remotely.

Benefits

• Competitive salary and comprehensive benefits package.


• Fully remote work environment with flexible hours.


• Opportunity to work with cutting-edge agricultural data and analytics tools.


• Continuous learning and professional development opportunities.


• A collaborative and innovative team culture focused on technological advancement in agriculture.