Remote Agricultural Data Analyst

Placements24; Upington; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Fully remote work

Flexible hours

Health, dental, and vision insurance

Retirement savings plan

Professional growth opportunities

Access to analytics platforms

Collaborative team environment

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Analytical thinking

Problem solving

Communication

Education

Bachelor's degree

Master's degree preferred

Tools

Python

R

SQL

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client is a leader in agricultural technology and data solutions, seeking a talented and analytical Remote Agricultural Data Analyst to join their growing team. This role is crucial for transforming raw agricultural data into actionable insights that drive better decision-making for farmers and agribusinesses. As a fully remote position, you will work with diverse datasets, including sensor data, satellite imagery, yield records, and market information, to identify trends, predict outcomes, and optimize farming practices. You will collaborate with agronomists, data scientists, and clients to deliver impactful reports and visualizations. This is an exciting opportunity to be at the intersection of agriculture and technology, contributing to more efficient and sustainable food production. The ideal candidate will possess strong analytical and statistical skills, proficiency in data visualization tools, and a solid understanding of agricultural concepts. You will be a self-starter, capable of managing your projects and time effectively from your home office, ensuring data integrity and providing valuable insights. Your work will directly support clients in making data-driven decisions to improve crop yields, reduce costs, and enhance overall farm profitability.

Key Responsibilities

• Collect, clean, and process large volumes of agricultural data from various 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 to support predictive analytics and forecasting.
• Create clear and concise data visualizations, dashboards, and reports for diverse audiences.
• Collaborate with agronomists to interpret data and provide actionable recommendations to farmers.
• Identify key performance indicators (KPIs) for agricultural operations and monitor progress.
• Ensure data accuracy, integrity, and security throughout the analysis process.
• Stay current with advancements in data analytics, machine learning, and agricultural technology.
• Contribute to the development of data products and analytical tools.
• Communicate findings and insights effectively to both technical and non-technical stakeholders.

Requirements

• Bachelor's degree in Data Science, Statistics, Agricultural Science, Computer Science, or a related quantitative field. A Master's degree is preferred.
• Minimum of 3 years of experience as a Data Analyst, preferably within the agriculture or agribusiness sector.
• Proficiency in data analysis languages such as Python or R.
• Experience with database management (SQL) and data warehousing concepts.
• Strong skills in data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Solid understanding of statistical methods and modeling techniques.
• Familiarity with agricultural concepts, crop production, and farm operations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and manage multiple projects in a remote setting.

Benefits

• Competitive annual salary of R .
• Fully remote work arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan.
• Opportunities for professional growth and continuous learning in data science and agriculture.
• Access to cutting-edge data analytics platforms and tools.
• Collaborative team environment with opportunities to work on innovative projects.
• Direct impact on improving agricultural efficiency and sustainability.