Remote Agriculture Data Analyst

Placements24; Johannesburg; Hybrid; ZAR 480,000 - 720,000; Full time

Benefits offered by this job

Fully remote

Professional development

Job summary

Placements24 is seeking a Remote Agriculture Data Analyst to join a data-driven team. You will collect, clean, and analyze large datasets on crops, soils, climate, and markets to deliver actionable insights for sustainable farming.

Ideal candidates will have strong statistical modeling skills, proficiency in Python/R and SQL, and experience with visualization tools. This fully remote role offers flexible work arrangements and opportunities to shape data-driven farming strategies.

Qualifications

• Bachelor's or Master's in a quantitative field.
• Proven experience as a Data Analyst in agriculture/environment.
• Proficient in Python or R and SQL.

Responsibilities

• Collect, clean, and process agricultural data from sensors, satellites, and market reports.
• Perform statistical analysis and build predictive models for yields and resource optimization.
• Analyze market data to identify trends and risks for agricultural products.
• Develop dashboards and reports to visualize KPIs for stakeholders.
• Collaborate with agronomists and farm managers to understand data needs.

Skills

Python

SQL

Tableau

Power BI

Machine Learning

GIS/Remote Sensing

Education

Bachelor's or Master's in Agriculture, Data Science, Statistics, Computer Science

Tools

Tableau

Power BI

Git

AWS

Job description

About the Role

Our client is seeking a highly analytical and data-driven Remote Agriculture Data Analyst to join their innovative team. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be responsible for collecting, analyzing, and interpreting vast datasets related to agricultural practices, crop yields, environmental factors, and market trends. The goal is to provide actionable insights that drive strategic decision-making for sustainable and efficient farming operations. We are looking for a candidate with a strong quantitative background, excellent statistical modeling skills, and a passion for leveraging technology to transform the agricultural sector.

Key Responsibilities

• Collect, clean, and process agricultural data from various sources, including sensors, satellite imagery, farm management software, and market reports.
• Perform statistical analysis and develop predictive models to forecast crop yields, identify disease outbreaks, and optimize resource allocation (water, fertilizers).
• Analyze market data to identify trends, opportunities, and potential risks for agricultural products.
• Develop and maintain dashboards and reports to visualize key performance indicators and present findings to stakeholders.
• Collaborate with agronomists, farm managers, and other agricultural experts to understand their data needs and provide relevant insights.
• Identify opportunities for improving data collection methods and analytical techniques.
• Stay abreast of the latest trends and technologies in agricultural data science and analytics.
• Ensure data integrity, accuracy, and security throughout the analysis process.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.
• Contribute to the development of data-driven strategies for sustainable agriculture.

Requirements

• Bachelor's or Master's degree in Agriculture, Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, preferably with a focus on the agriculture or environmental sector.
• Strong proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy, SciPy), R, or SQL.
• Experience with statistical modeling, machine learning techniques, and data visualization tools (e.g., Tableau, Power BI).
• Familiarity with agricultural concepts, farming practices, and related datasets (e.g., GIS, remote sensing data).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a remote team environment.
• Ability to work independently, manage multiple projects, and meet deadlines.
• High attention to detail and commitment to data accuracy.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

• Highly competitive annual salary commensurate with experience.
• Fully remote work arrangement, offering exceptional flexibility and work-life balance.
• Opportunity to work at the forefront of agricultural innovation.
• Access to cutting-edge data analytics tools and technologies.
• Professional development and continuous learning opportunities.
• Contribution to medical aid and provident fund.
• Collaborative and forward-thinking team culture.