Remote Agricultural Data Analyst — Flexible Hours

Placements24; Upington; Híbrido; ZAR 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote work

Flexible hours

Health, dental, and vision insurance

Retirement savings plan

Professional growth opportunities

Access to analytics platforms

Collaborative team environment

Descripción de la vacante

Placements24 is seeking a remote Agricultural Data Analyst to transform vast agricultural datasets into actionable insights for farmers and agribusinesses. You will work with sensor data, satellite imagery, yield records, and market information to build predictive models and dashboards.

The role requires 3+ years in data analysis, proficiency in Python or R, SQL, and data visualization tools. You will collaborate with agronomists and clients, ensure data integrity, and communicate findings to

Formación

• Bachelor's degree in Data Science, Statistics, Agricultural Science, Computer Science, or related field (Master's preferred).
• 3+ years of experience as a Data Analyst, preferably in agriculture/agribusiness.
• Proficiency in Python or R for data analysis.

Responsabilidades

• Collect, clean, and process large volumes of agricultural data from diverse sources.
• Analyze data to identify trends, patterns, and correlations related to crop performance, soil conditions, weather, and market factors.
• Develop and implement statistical models and algorithms for predictive analytics and forecasting.
• Create clear data visualizations, dashboards, and reports for diverse audiences.
• Collaborate with agronomists to interpret data and provide actionable recommendations.

Conocimientos

Analytical thinking

Problem solving

Communication

Educación

Bachelor's degree

Master's degree preferred

Herramientas

Python

R

SQL

Tableau

Power BI

Matplotlib

Descripción del empleo

Placements24 is seeking a remote Agricultural Data Analyst to transform vast agricultural datasets into actionable insights for farmers and agribusinesses. You will work with sensor data, satellite imagery, yield records, and market information to build predictive models and dashboards.

The role requires 3+ years in data analysis, proficiency in Python or R, SQL, and data visualization tools. You will collaborate with agronomists and clients, ensure data integrity, and communicate findings to