Farm Data Analyst: Yield & Resource Insights

Placements24

Klerksdorp

Vor Ort

ZAR 600.000 - 900.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Professional development
Coaching
Collaborative team

Zusammenfassung

Placements24 in Klerksdorp is seeking an Agricultural Data Analyst to transform raw farm data into actionable insights. You will work with agronomists and farm managers to analyze soil, weather, crop health, and yields, delivering data-driven decisions to optimize operations and profitability.

The role emphasizes building dashboards, developing predictive models for yields and resources, ensuring data integrity, and communicating findings to stakeholders to drive farm performance in the North

Qualifikationen

  • Bachelor's degree in a quantitative field.
  • 4+ years of experience as a Data Analyst, preferably in agriculture.
  • Proficiency in SQL, Python or R for data manipulation and analysis.
  • Experience with visualization tools like Tableau or Power BI.
  • Strong understanding of statistical modeling and machine learning concepts.

Aufgaben

  • Collect, clean, and analyze large datasets from various agricultural sources.
  • Develop and maintain dashboards and reports to visualize KPIs for farm operations.
  • Identify trends and anomalies to provide insights for operational improvements.
  • Collaborate with stakeholders to understand data needs and deliver outputs.
  • Build predictive models for yields, resources, and risks.
  • Ensure data integrity and accuracy throughout analysis.

Kenntnisse

SQL
Python
R
Statistical modeling
Machine learning
Problem-solving
Attention to detail
Agriculture interest

Ausbildung

Bachelor's degree in Data Science/Statistics/Agricultural Science/CS

Tools

Tableau
Power BI

Jobbeschreibung

Placements24 in Klerksdorp is seeking an Agricultural Data Analyst to transform raw farm data into actionable insights. You will work with agronomists and farm managers to analyze soil, weather, crop health, and yields, delivering data-driven decisions to optimize operations and profitability.

The role emphasizes building dashboards, developing predictive models for yields and resources, ensuring data integrity, and communicating findings to stakeholders to drive farm performance in the North

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