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Remote Agriculture Data Analytics Jobs (NOW HIRING)

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Data Analytics Engineer

$117K - $140K/yr

Role - Senior Data Analytics Engineer Location - Remote Duration - Long Term contract Required โ€ข 6 to 10 years in data engineering, analytics engineering, or a closely related role. โ€ข Databricks ...

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully ...

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

... remote hire Responsibilities * Own prioritization and project management for the data team ... Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable ...

Remote Duration: 6 months- Initially 20- 30 hours a week. Data Analyst Role and responsibilities ... Mid-level and more data analytics than PM * Parts/Industry experience - From the client: I'd add B2 ...

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Remote Agriculture Data Analytics information

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$57

$59

$60

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

As of Jun 12, 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:
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.

Manager - Data & Analytics

Qvest US

New York, NY โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.


Who We're Seeking
Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.
What You'll Do
  • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
  • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
  • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
  • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
  • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
  • Proactively identify risks, issues and provide mitigation strategies
  • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What You'll Bring
  • Eagerness to help build and lead a best-in-class data practice
  • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
  • Experience with project planning, including tasks, budgeting, resource allocation and balancing
  • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
  • Experience designing and building relational database and/or data warehouses
  • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etcย 
Preferred Additional Experience
  • A solid understanding of key BI trends and the BI vendor landscape
  • Experience in Media & Entertainment and/or Consumer Products industries
  • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
  • Cloud computing experience, whether with AWS or other vendors
  • Ability to understand/design small-to-medium size data architectures
  • Ability to automate data-related tasks using scripts and programming languages
  • Ability to profile, explore, and analyze data to identify common data patterns
  • Bachelor's degree in engineering, information systems, computer science, business administration, or other related analytical fields
  • Familiarity with dbt (https://getdbt.com)
Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee's primary office location, state, or region.ย 
ย 
Remote & Hybrid Work
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
ย 
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths.ย Qvest USย is currently 300+ people strong and we've been recognized as a "Best Place to Work," a "Great Place to Work," "Fastest Growing," and "A Jewel."
ย 
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.
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