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Remote Agriculture Data Analytics Jobs (NOW HIRING)

NuView Analytics

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

At NuView Analytics we help companies accelerate the time to insights from their data. We do this ... Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities:

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... We do this in three ways data analytics, data diligence, and fractional data science. Our clients ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

The Data Analytics Architect leads the design, integration, and governance of data systems that ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance ... This position is remote within the United States. Please note that ICF monitors employee work ...

NuView Analytics

Data Analyst

Denver, CO · Remote

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

CAPTRUST

Data & Analytics Lead

$110K - $120K/yr

The CAPTRUST at Work is seeking a Data & Analytics Lead who will be responsible for managing how ... Remote HOW do we build a world class organization one brick at a time? We make it a priority to ...

Imh

A strategic leader overseeing data and analytics operations across various departments and regions ... Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in ...

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Remote Agriculture Data Analytics information

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$60

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

As of Jun 15, 2026, the average hourly pay for remote agriculture data analytics in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in Remote Agriculture Data Analytics, and how can they be addressed?

Professionals in Remote Agriculture Data Analytics often face challenges related to data quality, integration of various data sources (such as satellite imagery, IoT sensors, and farm management systems), and ensuring reliable internet connectivity in rural areas. Overcoming these challenges usually involves working closely with IT teams to establish robust data pipelines, adopting cloud-based analytics platforms, and developing standardized data collection protocols. Additionally, clear communication and collaboration with agronomists and field staff help ensure that analytical insights are actionable and tailored to real-world farming needs.

What is remote agriculture data analytics?

Remote agriculture data analytics involves collecting, processing, and analyzing data from farms and agricultural environments using digital tools and technologies, often from a distance. This can include satellite imagery, drone data, sensors, and software platforms to monitor crop health, soil conditions, weather patterns, and other key metrics. Professionals in this field provide insights that help farmers make data-driven decisions to improve yields, reduce costs, and enhance sustainability. The remote aspect means much of the analysis and decision-making can be done without being physically present on the farm.

What are the key skills and qualifications needed to thrive as a Remote Agriculture Data Analytics professional, and why are they important?

To thrive as a Remote Agriculture Data Analytics professional, you need a solid background in data analysis, statistics, and agricultural science, often supported by a relevant degree. Competency with data analytics tools like Python, R, SQL, GIS software, and experience with remote sensing or precision agriculture platforms is typically required. Strong problem-solving, attention to detail, and effective communication skills help you interpret data and convey insights to stakeholders. These skills are vital for transforming complex agricultural data into actionable strategies that improve farm productivity and sustainability.

What is the difference between Remote Agriculture Data Analytics vs Remote Agricultural Data Technician?

AspectRemote Agriculture Data AnalyticsRemote Agricultural Data Technician
Required CredentialsDegree in Agriculture, Data Science, or related field; proficiency in data analysis toolsTechnical diploma or associate degree; familiarity with data collection equipment
Work EnvironmentPrimarily remote, analyzing datasets, creating reportsRemote or field-based, collecting and maintaining agricultural data
Employer & Industry UsageAgri-tech companies, research institutions, farmsFarming operations, agricultural service providers, research labs
Common Search & ComparisonYesYes

Remote Agriculture Data Analytics focuses on analyzing agricultural data remotely to inform decisions, while Remote Agricultural Data Technicians primarily collect and maintain data, often in the field. Both roles support agriculture but differ in responsibilities and skill requirements.

More about Remote Agriculture Data Analytics jobs
What cities are hiring for Remote Agriculture Data Analytics jobs? Cities with the most Remote 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 Remote Agriculture Data Analytics jobs? States with the most job openings for Remote Agriculture Data Analytics jobs include:
What job categories do people searching Remote Agriculture Data Analytics jobs look for? The top searched job categories for Remote Agriculture Data Analytics jobs are:
Remote Agriculture Data Analytics jobs near you
Infographic showing various Remote Agriculture Data Analytics job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Texas Agricultural Experiment Station

Corpus Christi, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Job Title

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Agency

Texas A&M Agrilife Research

Department

Corpus Christi

Proposed Minimum Salary

Commensurate

Job Location

Corpus Christi, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Position Information

Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Geospatial Data Analytics to work with the Digital Agriculture team. This position complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop near to develop multi-modal data pipelines for decision support systems.

One of the goals of Digital Agriculture Research Lab at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.

Responsibilities:

- Lead the remote sensing and geospatial analytics component of the Texas Conservation & Sustainability Initiative (TCSI)-monitoring, measuring, reporting and verification (MMRV) component of the project and is expected to use their expertise on remote sensing and AI to develop MMRV tools for assessing conservation outcomes using the huge amount of data generated from this project.

- The candidate will work on the synthesis, integration, and analysis of large datasets obtained from remote sensing platforms such as Satellite imagery, online databases, and ground sensors and develop pipelines for multi-source data integration systems in agriculture.

- Publish peer-reviewed papers and support grant writing.

- Support projects on the development of digital twin systems, models, and user interfaces for visualizations, mapping, predictions, and prescriptions.

- Publish peer-reviewed papers and support grant writing.

- work with scientists from crop physiology, agronomy, extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in team and independently as needed.

- Mentor graduate students learning to conduct geospatial science/engineering, remote sensing.

- Perform other job-related duties as assigned.

Required Qualifications:

- Ph.D. in Remote Sensing, Geospatial Science, Computer Engineering, Data Science or a closely related discipline.

- Relevant professional experience.

- Experience in processing, analyzing, and modeling remote sensing data, particularly satellite imagery (optical and radar/SAR).

- Proficiency in artificial intelligence, machine learning, and geospatial data analytics.

- Experience with cloud computing platforms, geospatial databases, and large-scale data processing workflows is desirable.

- Strong written and oral communication skills, including a demonstrated ability to publish in highquality peerreviewed journals.

- Ability to work collaboratively in interdisciplinary research environments and contribute to team-based projects.

What You Need to Know

Salary: Compensation for this position is commensurate based on the selected candidate's qualifications.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month
  • Automatic enrollment in theTeacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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