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Agriculture Data Analytics Jobs (NOW HIRING)

DTN is transforming agriculture through a unified intelligence platform that combines proprietary agricultural data, market intelligence, analytics, AI, and workflow solutions to help agribusinesses ...

$71K - $135K/yr

... from agricultural or biotechnology data Familiarity with version control and CI/CD practices (e.g., GitLab, Docker, package management such as Conda or Poetry) to build, test and deploy analytics ...

Data Analyst

Creve Coeur, MO · On-site

$71K - $135K/yr

... from agricultural or biotechnology data Familiarity with version control and CI/CD practices (e.g., GitLab, Docker, package management such as Conda or Poetry) to build, test and deploy analytics ...

... agricultural or biotechnology data * Familiarity with version control and CI/CD practices (e.g., GitLab, Docker, package management such as Conda or Poetry) to build, test and deploy analytics code ...

Data Analyst

Creve Coeur, MO · On-site

$71 - $135/hr

... agricultural or biotechnology data * Familiarity with version control and CI/CD practices (e.g., GitLab, Docker, package management such as Conda or Poetry) to build, test and deploy analytics code ...

New

... agricultural or biotechnology data * Familiarity with version control and CI/CD practices (e.g., GitLab, Docker, package management such as Conda or Poetry) to build, test and deploy analytics code ...

AGRICULTURE UNIT COORDINATOR

Grady, AR · On-site

$43K - $63K/yr

Ability to analyze agricultural data, prepare reports, and evaluate program success.Ability to supervise personnel, delegate tasks, and foster a collaborative work environment.Skilled in prioritizing ...

You'll be working closely with the Data Analytics and Quality Manager and Data Systems Manager, to ... agriculture, automotive) * Strong analytical skills and experience with both qualitative and ...

New

... in agricultural commodity trading, processing, and logistics. With milling facilities in 14 ... GENERAL PURPOSE The Data & Analytics Manager is the operational and people leader of a centralized ...

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How much do agriculture data analytics jobs pay per hour?

As of Aug 21, 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 is an agriculture data analytics?

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.

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 are the key skills and qualifications needed to thrive in agriculture data analytics, 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.

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 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 $113,873 per year, or $54.7 per hour.

Senior Product Manager, Intelligence Products

DTN

Remote

$129K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

For decades, DTN has been the silent force behind some of the world's most critical industries-helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights-enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don't follow trends-we set the standard for precision, trust, and operational impact.

DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we're accelerating growth and expanding our global footprint. Our purpose-built solutions-powered by AI and honed by decades of vertical expertise-are helping some of the world's most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.

Job Description:

DTN is transforming agriculture through a unified intelligence platform that combines proprietary agricultural data, market intelligence, analytics, AI, and workflow solutions to help agribusinesses make smarter commercial and operational decisions.

DTN is seeking a Senior Product Manager, Intelligence Products to lead strategy and execution for our upstream intelligence portfolio, with primary ownership of Farm Intelligence while partnering across grain and sustainability intelligence solutions. This senior individual contributor role will shape how customers discover opportunities, prioritize actions, and make better decisions through data, analytics, and AI-powered insights. You will work closely with Product, Engineering, Design, Data Science, and Commercial teams to define the future of DTN's intelligence platform.

What You Will Be Responsible For

  • Define product strategy, roadmap, and investment priorities for DTN's upstream intelligence portfolio
  • Lead customer discovery efforts with agribusinesses, retailers, manufacturers, distributors, and internal stakeholders to uncover high-value problems and market opportunities
  • Develop a deep understanding of commercial agriculture, customer decision-making processes, and data-driven business outcomes
  • Leverage customer research, product telemetry, market analysis, and competitive intelligence to identify opportunities for differentiated intelligence products
  • Make strategic prioritization decisions by balancing customer needs, commercial opportunity, technical trade-offs, and long-term platform strategy
  • Partner with leadership to identify growth opportunities in AI, predictive analytics, customer segmentation, and decision-support capabilities
  • Collaborate closely with Engineering, Design, and Data Science teams to deliver scalable, data-driven software products
  • Partner with Sales, Marketing, Customer Success, and Commercial Leadership to support successful product launches, adoption, and customer value realization
  • Define and monitor success metrics across product adoption, customer engagement, business impact, and revenue growth
  • Use experimentation, customer feedback, and product analytics to continuously improve product performance
  • Identify opportunities to leverage AI, predictive analytics, machine learning, and emerging technologies to enhance customer decision-making

What You Will Bring to the Position

  • 6+ years of Product Management experience leading complex B2B SaaS products
  • Proven experience owning products from strategy through delivery, launch, and ongoing optimization
  • Strong product judgment with the ability to make decisions in ambiguous, data-rich, and rapidly evolving environments
  • Strong business acumen with the ability to balance customer value, technical complexity, commercial opportunity, and long-term strategy
  • Experience building data-intensive software products involving analytics, APIs, integrations, data visualization, or AI-enabled capabilities
  • Strong understanding of product analytics, customer segmentation, experimentation, and evidence-based product decision-making
  • Experience partnering closely with Engineering and Data Science teams
  • Excellent communication and stakeholder management skills across technical, commercial, and executive audiences
  • Proven ability to influence strategy and drive alignment without direct authority

What Will Make You Stand Out

  • Experience incorporating AI, machine learning, predictive analytics, or intelligent recommendations into customer-facing products
  • Experience in agriculture, ag-tech, market intelligence, business intelligence, GIS, or decision-support software
  • Familiarity with agricultural retail, crop inputs, grain markets, sustainability, precision agriculture, or agronomic workflows
  • Experience building products leveraging geospatial data, predictive models, customer segmentation, or AI-driven insights
  • Understanding of commercial agriculture, agricultural data ecosystems, or B2B analytics platforms

What You Can Expect from DTN

  • Competitive Salary
  • Unlimited PTO
  • Flexible working hours
  • Remote work model (position dependent)
  • Competitive Medical, Dental and Vision Insurance Plans
  • 6% 401K matching
  • Unlimited access to 13k+ courses via learning platform to support employee career advancement
  • Employee Assistance Program (EAP)

Compensation
The targeted hiring base pay range for this position is between $115,000 and $149,000. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.


#LI-REMOTE
#LI-TH1

About DTN:

DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights-empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world.

At DTN, we value clarity, trust, and action. We're a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters - and that mission is at the core of what we do.

  • Trust Built: We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable.

  • Confidence-Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act.

  • Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts.

  • Future-Forward: We see what's coming- and we're ready. We help customers lead through change with smarter decisioning.

Recruitment Fraud Notice:

DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official @dtn.com email address or through our Paradox AI automated scheduling platform (Talent IQ). Any offers are extended directly by our Talent Acquisition team following a formal interview process.

If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at Careers@dtn.com to verify the legitimacy of any communication.Report any fraudulent messaging as phishing or spam.

DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.