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Internship Agriculture Data Analytics Jobs (NOW HIRING)

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students who are looking to get a critical jump start on a career in Data Analytics, working side by side with ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

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 ...

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Internship Agriculture Data Analytics information

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How much do internship agriculture data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship agriculture data analytics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during an agriculture data analytics internship?

As an Agriculture Data Analytics intern, you'll likely work on projects involving data collection, analysis, and visualization to support crop management, yield prediction, or resource optimization. You may collaborate with agronomists and data scientists to clean and interpret large datasets from sources like precision agriculture tools or remote sensors. Interns often contribute to building dashboards, generating reports, and creating actionable insights that help improve farming practices. This role offers hands-on experience with both agricultural concepts and analytical tools, providing a valuable foundation for a career in agri-tech or data science.

What is an internship in agriculture data analytics?

An Internship in Agriculture Data Analytics is a temporary position designed for students or recent graduates to gain practical experience in analyzing agricultural data. Interns typically work with large datasets related to crop yields, soil health, weather patterns, and farm management practices, using statistical tools and software. The goal is to generate actionable insights that help improve agricultural productivity, sustainability, and decision-making. Interns may also assist with data collection, cleaning, and visualization, working under the supervision of experienced data analysts or agricultural scientists.

What is the difference between Internship Agriculture Data Analytics vs Agriculture Data Analyst?

AspectInternship Agriculture Data AnalyticsAgriculture Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree programsBachelor's or higher in data science, agriculture, or related fields
Work EnvironmentInternship setting, often in agricultural companies or research centersFull-time professional role in agriculture or data firms
Employer & Industry UsageEducational, training-focused, often temporaryOperational, decision-making role within agriculture industry
Search & Comparison IntentLearning about entry-level opportunities and trainingUnderstanding professional career paths and job requirements

Internship Agriculture Data Analytics is a temporary, training-focused position for students or recent graduates, emphasizing learning and skill development. In contrast, an Agriculture Data Analyst is a full-time professional role requiring more experience and responsibility, focusing on analyzing agricultural data to support business decisions.

What are the key skills and qualifications needed to thrive as an internship in agriculture data analytics?

To excel in an Internship Agriculture Data Analytics role, you need a solid understanding of data analysis, statistics, and foundational knowledge of agriculture, often backed by coursework in data science or agronomy. Familiarity with tools like Python, R, Excel, and agricultural data management platforms is typically required. Strong analytical thinking, attention to detail, and effective communication will help you interpret findings and collaborate with multidisciplinary teams. These skills are crucial for turning raw agricultural data into actionable insights that can improve farming efficiency and sustainability.
More about Internship Agriculture Data Analytics jobs
What cities are hiring for Internship Agriculture Data Analytics jobs? Cities with the most Internship 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 Internship Agriculture Data Analytics jobs? States with the most job openings for Internship Agriculture Data Analytics jobs include:
Infographic showing various Internship Agriculture Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Management Intern - AgTech & Geospatial Data

Solar Digital Agro LLC

Austin, TX โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


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 50,000โ€“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 internshipโ€™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 50,000โ€“100,000 per year. The actual position, responsibilities, and compensation will depend on the candidateโ€™s performance, qualifications, experience, and the companyโ€™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 companyโ€™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 โ€“ 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.