#TakeCharge with #Aimshala

What are the roles and responsibilities in Agricultural Data Coordinator?

• Data Collection : Agricultural Data Coordinators gather data from various sources, including field reports, surveys, and research studies to support agricultural operations.
• Data Analysis : They analyze agricultural data to identify trends, patterns, and insights that can inform decision-making for farmers and agribusinesses.
• Reporting Findings : Agricultural Data Coordinators prepare reports and presentations to communicate findings to stakeholders, including farmers, management, and policy makers.
• Database Management : They maintain and update databases, ensuring that data is accurate, accessible, and secure for future analysis.
• Collaboration : Agricultural Data Coordinators collaborate with agronomists, researchers, and other professionals to integrate data into agricultural practices.

What education is required to study Agricultural Data Coordinator

Check out the dates of the total number of candidates who have appeared in the CUET 2022 exam from the below table.

What are the key skills required for Agricultural Data Coordinator

• Data Analysis Skills - These skills are essential for interpreting agricultural data and making informed recommendations based on findings.
• Communication Skills - Effective communication is crucial for sharing data insights with farmers, stakeholders, and team members.
• Attention to Detail - A keen eye for detail is vital in ensuring data accuracy and reliability in analysis.
• Technical Skills - Proficiency with data management software and analytical tools is important for conducting data analysis.
• Project Management Skills - Managing data projects efficiently, including timelines and deliverables, is key to successful outcomes in agricultural data coordination.

What are the career opportunities in Agricultural Data Coordinator?

• Agricultural Analyst - Agricultural Analysts evaluate market trends and data to provide insights that help agribusinesses make informed decisions.
• Data Scientist in Agriculture - Data Scientists in Agriculture focus on developing algorithms and models to analyze complex agricultural data.
• Farm Management Consultant - Farm Management Consultants advise farmers on best practices and data-driven decision-making to enhance productivity.
• Precision Agriculture Specialist - Precision Agriculture Specialists use data analytics to optimize farming practices and resource use.
• Agricultural Technology Consultant - Agricultural Technology Consultants help implement data-driven technologies in farming operations.

What is the salary and demand for Agricultural Data Coordinator?

• Salary Overview - The typical salary for Agricultural Data Coordinators ranges from $45,000 for entry-level positions to over $90,000 for experienced professionals, with variations based on education and location.
• Regional Salary Variations - Salaries can vary significantly by region; for example, Agricultural Data Coordinators in urban areas or regions with high agricultural output may earn more than those in rural settings.
• Current Job Market Demand - The demand for Agricultural Data Coordinators is increasing due to the growing importance of data in optimizing agricultural practices and decision-making.
• Future Demand Projections - Future demand for Agricultural Data Coordinators is expected to rise as agribusinesses increasingly rely on data analytics to enhance productivity and sustainability.

Leading companies for careers in Agricultural Data Coordinator

Ag Leader Technology

Trimble Ag Technology

Bayer Crop Science

Corteva Agriscience

Syngenta

John Deere

AG Leader Technology

FarmLogs

What are the best colleges for Agricultural Data Coordinator in India?

Undergraduate

Postgraduate

What are the best colleges for Agricultural Data Coordinator in Abroad?

What are the top entrance exams in India for pursuing a career in Agricultural Data Coordinator

Pros & Cons of a Career in Agricultural Data Coordinator

Pros

• Agricultural Data Coordinators play a crucial role in enhancing agricultural productivity and sustainability through effective data management.
• The field offers competitive salaries, especially for those with advanced degrees and specialized skills in data analytics.
• Professionals in this field contribute to informed decision-making and strategic planning in agribusiness, making their work impactful.
• The career provides opportunities for continuous learning and adaptation to new technologies in data management.

Cons

• The job can involve long hours, particularly during peak data collection seasons or when deadlines approach.
• Some roles may require travel to remote agricultural areas, which can be physically demanding.
• Data privacy and security concerns can add complexity to the role, requiring ongoing education and vigilance.
• The work can sometimes feel isolating, especially for those focused on extensive data analysis away from collaborative environments.