Remote Agricultural Data Analyst

Placements24; Cape Town; Hybrid; ZAR 450,000 - 650,000; Full time

Benefits offered by this job

Remote work flexibility

Health, dental, and vision insurance

Professional development and online课程

Job summary

Placements24 is seeking a Remote Agricultural Data Analyst to support operations for Cape Town area clients. You will work with large datasets, build predictive models, and translate findings into actionable insights for farming partners.

The role emphasizes data integrity, scalable analytics, clear visualizations, and collaboration with agronomists and farm managers to improve yields, resource use, and sustainability, all from a flexible remote setting.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Agriculture, or related field.
• Proven experience as a Data Analyst, preferably in agriculture.
• Proficiency in Python (Pandas, NumPy, Scikit-learn) or R.
• Experience with SQL and data visualization tools (Tableau, Power BI).
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and process large volumes of agricultural data from sensors, satellite imagery, and farm systems.
• Develop and implement statistical models and machine learning algorithms to analyze trends and forecast outcomes.
• Create clear data visualizations, reports, and dashboards for stakeholders with varying technical backgrounds.
• Collaborate with agronomists and farm managers to understand data needs and provide analytics support.
• Identify opportunities for data-driven innovation to improve yields, efficiency, and sustainability.
• Ensure data integrity, accuracy, and security across analytical processes.

Skills

Data analysis

Critical thinking

Communication

Education

Bachelor's degree in Data Science or related field

Tools

Python

R

SQL

Tableau

Power BI

Scikit-learn

Job description

About the Role

Our client is seeking a skilled Remote Agricultural Data Analyst to join their innovative team, supporting operations remotely with a focus on clients in the Cape Town region. This role involves leveraging data to drive informed decision-making in agricultural practices, from optimizing resource allocation to forecasting crop yields. You will work with large datasets, develop analytical models, and translate complex findings into actionable insights for our agricultural partners. This is a critical position for an individual passionate about the intersection of technology and agriculture, enabling sustainable and efficient farming through data-driven solutions. The role offers flexibility and the chance to make a significant impact from anywhere.

Key Responsibilities

• Collect, clean, and process large volumes of agricultural data from various sources, including sensors, satellite imagery, and farm management systems.


• Develop and implement statistical models and machine learning algorithms to analyze agricultural trends, predict outcomes, and identify areas for improvement.


• Create clear and concise data visualizations, reports, and dashboards to communicate findings to stakeholders with varying technical backgrounds.


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


• Identify opportunities for data-driven innovation to enhance crop yields, resource efficiency, and sustainability.


• Ensure data integrity, accuracy, and security across all analytical processes.

Requirements

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


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


• Proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) or R.


• Experience with database management (SQL) and data visualization tools (e.g., Tableau, Power BI).


• Strong analytical, problem-solving, and critical thinking skills.


• Excellent communication skills and the ability to explain complex technical concepts to non-technical audiences.

Benefits

• Competitive salary with remote work flexibility.


• Comprehensive health, dental, and vision insurance.


• Opportunities for professional development and access to online courses.


• Generous paid time off and holidays.


• Contribution to home office setup.


• A collaborative and forward-thinking virtual work environment.