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Agriculture Data Analytics Intern Jobs (NOW HIRING)

Data Analytics Intern

Concord, CA · On-site

$60K - $70K/yr

... actional analytics to improve operational efficiencies. We are the proud partner of over 30 ... Position Overview: retailcloud is seeking a Data Anyltics Intern to work with large and complex ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field * Expected graduation date of May 2027 * Experience or ...

Job Summary The Analytics Intern will support the enhancement and ongoing support of the Coil ... Interpret data, perform data analysis, and conduct data validation. * Develop high-quality Power BI ...

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Agriculture Data Analytics Intern information

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

As of Aug 23, 2026, the average hourly pay for agriculture data analytics intern 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 does an Agriculture Data Analytics Intern do?

An Agriculture Data Analytics Intern assists in collecting, analyzing, and interpreting agricultural data to help improve farming practices, crop yields, and supply chain efficiency. They use statistical software and data visualization tools to identify trends and provide actionable insights to agricultural businesses or research teams. Interns may work with data from sensors, satellites, weather reports, and field records. Their work supports decision-making in areas like precision agriculture, sustainability, and resource management.

What are the key skills and qualifications needed to thrive as an Agriculture Data Analytics Intern, and why are they important?

To thrive as an Agriculture Data Analytics Intern, you need a solid background in data analysis, statistics, and agricultural science, often supported by coursework or experience in related fields. Familiarity with data analysis tools such as Python, R, SQL, and GIS software, as well as exposure to agricultural databases or remote sensing systems, is typically required. Analytical thinking, problem-solving abilities, and strong communication skills help interns interpret data insights and present findings effectively to diverse teams. These competencies are crucial for transforming agricultural data into actionable information that supports decision-making and innovation in the industry.

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

AspectAgriculture Data Analytics InternAgriculture Data Analyst
Required CredentialsCurrently pursuing or recent graduate in agriculture, data science, or related fieldsBachelor's or master's degree in agriculture, data science, or related fields
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time role, independent data analysis, reporting responsibilities
Employer & Industry UsageAgricultural companies, research institutions, startupsFarming firms, agribusinesses, research organizations

The main difference between an Agriculture Data Analytics Intern and an Agriculture Data Analyst lies in experience and responsibilities. Interns are typically students or recent graduates gaining hands-on experience under supervision, while Data Analysts are full-time professionals responsible for independent data analysis and decision-making. Internships serve as training roles, whereas Data Analysts perform ongoing, complex data tasks in the industry.

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States with the most job openings for Agriculture Data Analytics Intern jobs include:

Infographic showing various Agriculture Data Analytics Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Analytics Intern

Retailcloud

Concord, CA • On-site

$60K - $70K/yr

Full-time

Medical, PTO

Re-posted 10 days ago


Job description


Company Overview:
retailcloud is an omnichannel commerce platform that provides sports and entertainment merchants the ability to easily manage their orders, inventory, customers, and other related tasks while providing them with actional analytics to improve operational efficiencies. We are the proud partner of over 30 professional sports teams and work closely to utilize our 30+ homegrown application and range of out of the box integrations to build a tailored solution to meet the customers needs.
Position Overview:
retailcloud is seeking a Data Anyltics Intern to work with large and complex datasets and turn them into clear insights and visualizations. We are looking to utilize our data and technology to transform a retailers data into actionable analytics for the retailer. The ideal candidate will have 1-3 years experience in a prior data analytics role. This role will require to create and improve our analytics dashboards to support our retailers operations.
Responsibilities:
• Demonstrated ability to work with large and complex datasets.
• Strong written and verbal communication skills to explain findings to decision-makers who are not business analysts or data analysis experts.
• Demonstrated ability to independently determine and apply the most appropriate mathematical and statistical techniques to interpret data into meaningful insights and conclusions.
• Tech-savvy, particularly when it comes to data mining and cleansing.
• High attention to detail as it relates to data integrity and organization.
• Willingness to take on multiple departmental responsibilities and multitask.
• Ability to organize and create catalogs for large streams of data collected.
• Project organization and management.
Qualifications and Experience
• Bachelor's degree or equivalent industry experience preferred.
• 1-3 years experience in a data analytics/science role, ideally from a SaaS/ERP/API company
• Ideally worked in a start-up environment
• Highly organized
Compensation:
Base salary of $60,000-$70,000 with PTO and full medical benefits