Senior Agricultural Data Analyst

Placements24; Midrand; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Professional development and travel to

Access to advanced analytics tools

Job summary

Placements24 is seeking a Senior Agricultural Data Analyst to join a remote-ready team focused on driving efficiency and sustainability in modern farming through data-driven decisions. You will interpret complex agricultural data, identify trends, and deliver actionable insights to stakeholders across the organization.

The role requires 5+ years in data analysis with a strong agro-data focus, proficiency in Python/R/SQL, and experience creating predictive models and dashboards.

Qualifications

• Bachelor’s or Master’s in a quantitative field (Data Science, Agricultural Science, Statistics)
• At least 5 years of data analysis experience in agriculture
• Proficient with Python (Pandas, NumPy, Matplotlib), R, SQL
• Experience building/deploying ML models for agricultural apps
• Strong remote collaboration and communication skills

Responsibilities

• Analyze large agricultural datasets (crop yields, soil, weather, livestock) using advanced statistics
• Develop predictive models for forecasting and risk identification
• Create dashboards and reports for stakeholders; translate findings clearly
• Collaborate remotely with agronomists, farm managers and researchers
• Ensure data quality and integrity across datasets
• Keep up with advances in agri-tech and analytics tools

Skills

Python (Pandas)

R

SQL

Data Visualization

Remote collaboration

Education

Bachelor's or Master's in Data Science or Agricultural Science

Tools

Tableau

Power BI

SQL Databases

Job description

About the Role

Our client is seeking a highly skilled Senior Agricultural Data Analyst to join their innovative team. This role is integral to leveraging data to drive efficiency and sustainability within modern farming practices. You will be responsible for interpreting complex agricultural datasets, identifying trends, and providing actionable insights to stakeholders across the organization. The position is designed for an individual passionate about the intersection of technology and agriculture, capable of working independently and collaboratively in a fully remote setting. This is a unique opportunity to shape the future of agriculture through data-driven decision-making.

Key Responsibilities

• Analyze large agricultural datasets including crop yields, soil conditions, weather patterns, and livestock health using advanced statistical techniques and tools.
• Develop and implement predictive models for forecasting agricultural outcomes and identifying potential risks.
• Design and maintain comprehensive data dashboards and reports for various stakeholders, translating complex findings into easily understandable formats.
• Collaborate remotely with agronomists, farm managers, and research teams to understand data needs and deliver tailored analytical solutions.
• Ensure data integrity and accuracy, implementing quality control measures for all incoming and processed agricultural data.
• Stay abreast of the latest advancements in agricultural technology and data analytics to continuously improve methodologies and tools.

Requirements

• Bachelor's or Master's degree in Data Science, Agricultural Science, Statistics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a significant focus on the agriculture industry .
• Proficiency in data analysis and visualization tools such as Python (Pandas, NumPy, Matplotlib), R, SQL, and BI platforms (Tableau, Power BI).
• Proven experience in building and deploying machine learning models relevant to agricultural applications.
• Excellent communication and collaboration skills, with demonstrated success in a remote work environment.
• Strong understanding of farming operations, crop science, and sustainable agriculture practices.

Benefits

• Competitive annual salary commensurate with experience.
• Opportunity to work fully remote , offering flexibility and work-life balance.
• Contribution to a company that is making a tangible impact on sustainable agriculture.
• Professional development opportunities and support for attending relevant conferences.
• Access to cutting-edge analytical tools and technologies.