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Agriculture Data Analytics Jobs (NOW HIRING)

Bachelor's or Master's degree in data analytics, statistics, computer science, agriculture, or a related field * Minimum of 3 years of experience delivering advanced analytics solutions in ...

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

Data Analytics: Oversee the development of stream processing applications using Apache Spark or ... At Overwatch Agriculture, we prioritize people over processes, fostering a supportive and tech ...

... agriculture. To support this mission, Syngenta is seeking a Data & Insights Manager to lead the North America Data & Analytics strategy while driving the delivery of enterprise Data, Analytics, and ...

... agriculture. To support this mission, Syngenta is seeking a Data & Insights Manager to lead the North America Data & Analytics strategy while driving the delivery of enterprise Data, Analytics, and ...

... agriculture. To support this mission, Syngenta is seeking a Data & Insights Manager to lead the North America Data & Analytics strategy while driving the delivery of enterprise Data, Analytics, and ...

College of Agriculture and Life Sciences at Texas A&M University * Texas A&M Forest Service * Texas ... Participate in strategic planning for the data analytics function and represent the data analysis ...

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Agriculture Data Analytics information

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How much do agriculture data analytics jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for agriculture data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Agriculture Data Analytics position, and why are they important?

To thrive in Agriculture Data Analytics, a strong foundation in data analysis, statistics, and agricultural science is essential, often supported by a degree in data science, agronomy, or a related field. Proficiency with analytical tools such as Python, R, GIS software, and data visualization platforms, as well as familiarity with agricultural management systems, is highly valued. Effective communication, problem-solving skills, and the ability to work collaboratively with cross-functional teams distinguish top performers. These abilities are crucial for translating complex data into actionable insights that drive innovation and efficiency in the agricultural industry.

What kind of projects or datasets might I work with as an Agriculture Data Analytics professional?

In an Agriculture Data Analytics role, you’ll typically work with datasets related to crop yields, soil conditions, weather patterns, pest incidence, and farm equipment efficiency. Projects can involve predictive modeling for yield forecasting, optimizing irrigation schedules, or assessing the effectiveness of different fertilizers and crop protection measures. You may collaborate closely with agronomists, farm managers, and technology teams to design studies and implement data-driven solutions. This variety ensures that your work directly supports smarter decision-making and more sustainable farming practices.

What is an Agriculture Data Analytics job?

An Agriculture Data Analytics job involves analyzing data from farming operations, weather patterns, soil conditions, and crop yields to optimize agricultural practices. Professionals in this field use data science, machine learning, and statistical models to improve efficiency, reduce waste, and increase crop production. They work with farmers, agribusinesses, and researchers to provide insights that drive better decision-making in agriculture. This role requires expertise in data analysis, programming, and agricultural sciences to interpret complex datasets effectively.

More about Agriculture Data Analytics jobs
What cities are hiring for Agriculture Data Analytics jobs? Cities with the most Agriculture Data Analytics job openings:
What are the most commonly searched types of Agriculture Data Analytics jobs? The most popular types of Agriculture Data Analytics jobs are:
What states have the most Agriculture Data Analytics jobs? States with the most job openings for Agriculture Data Analytics jobs include:
Infographic showing various Agriculture Data Analytics job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Management Intern - AgTech & Geospatial Data

Solar Digital Agro LLC

Austin, TX • On-site

Other

Posted 4 days ago


Job description

Location: Austin, Texas

Work Arrangement: Primarily On-site

Employment Type: Paid Internship

Internship Duration: 3 Months

Compensation: USD 3,000 per month

Potential Full-Time Salary: USD 50,000–100,000 per year, depending on the position, qualifications, experience, and performance


About the Company:

Our work focuses on agricultural technology, agricultural data services, market research, geospatial analysis, and related technology applications.

We are building an international and interdisciplinary team to explore practical applications of agricultural sensors, drones, satellite remote sensing, geographic information systems, and data analytics in U.S. and international agricultural projects.


Position Overview:

This is a multidisciplinary internship combining agricultural technology research, geospatial data analysis, project coordination, and business operations.

It is not a purely software-development or data-analysis position. The internship is designed for candidates interested in developing practical experience in agricultural technology while building skills in project coordination, technical research, data organization, communication, and cross-functional collaboration.


Key Responsibilities:

  • Support the planning, tracking, coordination, and periodic review of agricultural technology projects.
  • Research agricultural sensors, Internet of Things devices, field-monitoring equipment, and agricultural data-collection solutions.
  • Assist with research on drone applications in farm mapping, crop monitoring, land assessment, and agricultural data collection.
  • Organize and analyze satellite imagery, remote-sensing data, and agricultural geospatial information.
  • Use or learn GIS, data-visualization, and basic data-processing tools.
  • Assist with analyses involving agricultural remote-sensing indicators, including NDVI, EVI, and NDMI.
  • Support communication and project coordination with universities, research institutions, technology vendors, agricultural companies, and other project partners.
  • Prepare project reports, research summaries, meeting notes, presentations, and supporting materials.
  • Track developments in agricultural technology, drones, satellite systems, remote sensing, and geospatial information.
  • Participate in occasional field visits to farms, agricultural facilities, or partner project sites when required.
  • Perform other reasonable project-related duties consistent with the internship’s agricultural technology and project-coordination focus.


Qualifications:

  • Current undergraduate or graduate student, or a recent graduate, in a relevant field.
  • Preferred areas of study include Agricultural Engineering, Agricultural Technology, GIS, Remote Sensing, Geography, Environmental Science, Data Science, Computer Science, Engineering, Engineering Management, or a related discipline.
  • Strong interest in agricultural technology, drones, satellite remote sensing, GIS, data analytics, or technology project management.
  • Strong learning ability, organizational skills, attention to detail, and project-execution mindset.
  • Ability to manage multiple assignments and communicate progress clearly.
  • Proficiency with Microsoft Office, Google Workspace, or similar productivity tools.
  • Experience with Python, SQL, ArcGIS, QGIS, Google Earth Engine, data analytics, or remote-sensing software is preferred but not required.
  • Strong English communication and professional writing skills.
  • Chinese-language ability is a plus but is not required.
  • Comfortable working in a collaborative, interdisciplinary, and entrepreneurial environment.
  • Must be legally authorized to intern or work in the United States.


Compensation and Full-Time Opportunity:

This is a paid, three-month internship with compensation of USD 3,000 per month.

Successful completion of the internship does not guarantee continued employment. However, high-performing interns may be considered for conversion to a full-time position based on:

  • Individual performance;
  • Business needs;
  • Availability of a suitable position;
  • Relevant skills and experience; and
  • Continued work authorization.

The anticipated base salary range for eligible full-time positions is USD 50,000–100,000 per year. The actual position, responsibilities, and compensation will depend on the candidate’s performance, qualifications, experience, and the company’s business needs at the time of conversion.


What you will Gain:

  • Hands-on exposure to agricultural sensors, drones, satellite remote sensing, GIS, and agricultural data projects.
  • Experience supporting practical agricultural technology and project-development activities.
  • Development in project coordination, technical research, data analysis, reporting, and cross-functional collaboration.
  • Opportunities to support communication with universities, research institutions, agricultural companies, technology vendors, and other partners.
  • Consideration for the company’s long-term talent-development program and future full-time opportunities based on performance and business needs.


How to Apply:

Please apply through the LinkedIn job posting or submit the following materials to:

hr@space-time-tunnel.com

Please use the email subject line:

Application – AgTech & Geospatial Data Project Intern

Application materials may include:

  • English resume;
  • Brief personal introduction;
  • Available start date;
  • Weekly availability; and
  • Relevant coursework, projects, portfolios, or experience involving agricultural technology, GIS, drones, satellite remote sensing, project coordination, or data analytics.


Join us in developing practical technology solutions that connect agriculture, geospatial data, and the future.