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Agricultural Data Analyst

Job in Klerksdorp, 2571, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-09-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering
Job Description & How to Apply Below
Location: Klerksdorp

About the Role

Our client in Klerksdorp is looking for a meticulous and insightful Agricultural Data Analyst to transform raw agricultural data into actionable intelligence. This role is critical for optimizing farm operations, improving crop yields, and enhancing resource management through data-driven decision-making. You will work closely with agronomists, farm managers, and operations teams to analyze complex datasets related to soil conditions, weather patterns, crop health, and market trends.

This position offers a fantastic opportunity to apply analytical skills in a dynamic agricultural setting, contributing directly to the business's efficiency and success in the North West region.

Key Responsibilities
  • Collect, clean, and analyze large datasets from various agricultural sources, including sensors, equipment, and farm records.
  • Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) for farm operations.
  • Identify trends, patterns, and anomalies in agricultural data to provide insights for operational improvements.
  • Collaborate with stakeholders to understand data needs and deliver meaningful analytical outputs.
  • Build predictive models for crop yields, resource requirements, and potential risks.
  • Ensure data integrity and accuracy throughout the analysis process.
Requirements
  • Bachelor's degree in Data Science, Statistics, Agricultural Science, Computer Science, or a related quantitative field.
  • Minimum of 4 years of experience as a Data Analyst, preferably within the agricultural sector.
  • Proficiency in data manipulation and analysis tools such as SQL, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar platforms.
  • Strong understanding of statistical modeling and machine learning concepts.
  • Excellent problem-solving abilities and attention to detail, with a keen interest in agriculture .
Benefits
  • Competitive annual salary and potential for project bonuses.
  • Comprehensive health and retirement benefits package.
  • Opportunities for professional training in data analytics and agricultural technology.
  • A collaborative work environment focused on innovation and data-driven solutions.
  • Be at the forefront of applying data science to modern farming practices in Klerksdorp .
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