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Remote Agriculture Data Analytics Jobs in Raleigh, NC

Data Analytics Analyst II

Durham, NC ยท Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

Data Analyst

Raleigh, NC ยท On-site +1

This is a remote full-time post with lots of possibilities for advancement. By means of data exploration and analysis, we can go through large databases in search of correlations, anomalies, trends ...

Senior AI FinOps Data Analyst

Raleigh, NC ยท On-site +1

$88K - $141K/yr

Bachelor's degree in Information Technology, Data Analytics, Computer Science, or a related field ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Sr Data Analyst

Raleigh, NC ยท On-site +1

$83K - $105K/yr

This position is 100% remote and would require working from a home office, in which candidates may ... Create and maintain any additional ad hoc analytics requests by the client, corporate office and ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Senior FP&A Planning Analyst (Oracle EPM)

Cary, NC ยท On-site +1

$80K - $99K/yr

Senior FP&A Planning Analyst (Oracle EPM) Hybrid - Cary, North Carolina or US - Remote We're a leader in data and AI. Through our software and services, we inspire customers around the world to ...

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Remote Agriculture Data Analytics information

See Raleigh, NC salary details

$55

$57

$58

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

As of Aug 9, 2026, the average hourly pay for remote agriculture data analytics in Raleigh, NC is $57.58, according to ZipRecruiter salary data. Most workers in this role earn between $57.02 and $58.17 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?

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.

What are the most commonly searched types of Agriculture Data Analytics jobs in Raleigh, NC? The most popular types of Agriculture Data Analytics jobs in Raleigh, NC are:
What job categories do people searching Remote Agriculture Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Remote Agriculture Data Analytics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Agriculture Data Analytics jobs? Cities near Raleigh, NC with the most Remote Agriculture Data Analytics job openings:
Infographic showing various Remote Agriculture Data Analytics job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,770 per year, or $57.6 per hour.

Data Analytics Business Analyst (Full-Time Remote)

Alliance

Morrisville, NC โ€ข On-site, Remote

$81K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

The Data Analytics Business Analyst gathers and documents business and technical needs for data and analytics projects, converts them into analytical specifications and test plans, assists in building and validating dashboards, reports, and predictive models, and safeguards data quality and HIPAA compliance across all analytical solutions.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Elicit and Document Analytics Requirements
  • Lead discovery meetings to capture business objectives, key performance indicators (KPIs), and reporting needs
  • Capture data source requirements, frequency, granularity, and any service level expectations (e.g., refresh windows)
  • Produce requirements artifacts such as Business Requirements Documents (BRDs), data modeling diagrams, and acceptance criteria that define the desired analytics outcomes
  • Analyze and Profile Data Perform data profiling on source systems (e.g., relational databases, data lakes, SaaS APIs) to understand completeness, consistency, and distribution of fields
  • Conduct gap analysis to identify missing attributes or mismatches against reporting specifications
  • Document data quality issues, propose validation rules, and define reconciliation procedures that support accurate analytics

Translate Requirements into Analytical Specifications
  • Develop detailed functional and technical specifications for data models, dimensional schemas (star/snowflake), and analytical pipelines (ETL/ELT, data wrangling scripts, BI tool configurations)
  • Collaborate with data engineers, data scientists, and BI developers to align design patterns, naming conventions, and reusable components
  • Ensure specifications address scalability, security (including HIPAA related data handling), and maintainability of analytical solutions

Plan and Execute Testing of Analytical Solutions
  • Create test plans, test cases, and validation data sets for unit, integration, and user acceptance testing of dashboards, reports, and predictive models
  • Support business stakeholders with UAT; log defects, prioritize fixes, and oversee retesting cycles
  • Verify performance (e.g., query response time, model runtime) against agreed upon thresholds

Support Implementation and Ongoing Operations
  • Assist with go live activities such as preparation of runbooks, standard operating procedures (SOPs), and cut over checklists for analytics releases
  • Monitor initial production runs, perform data reconciliations, and address any discrepancies that arise
  • Participate in incident response, root cause analysis, and documentation of lessons learned for continuous improvement

Maintain Documentation and Knowledge Base
  • Keep current inventories of data sources, data dictionaries, lineage diagrams, and model documentation up to date
  • Author and refresh end user guides, technical "how to" documents, and metadata catalogs in line with departmental standards

Communication and Collaboration
  • Translate complex analytical concepts into clear language for both technical and non technical audiences
  • Partner with internal business units, external data providers, and vendor teams to ensure alignment on data definitions, delivery schedules, and reporting expectations
  • Contribute to data governance initiatives, supporting standards for data stewardship, privacy, and compliance

Continuous Improvement
  • Identify opportunities to streamline analytics workflows through reusable templates, automation (e.g., CI/CD pipelines for data models), and self service tooling
  • Define and track analytics related KPIs such as report delivery timeliness, data quality error rates, and model accuracy
  • Recommend best practice enhancements to increase efficiency, data reliability, and user satisfaction

Minimum Requirements
Education and Experience
Vocational or Technical Training in in Computer Science, Information Systems, Business Administration, or a related field; and six (6) years of experience in data analytics or data science;
Or
Associate's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (5) years of experience in data analytics or data science;
Or
Bachelor's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (3) years of experience in data analytics or data science.
Knowledge, Skills, & Abilities
  • SQL (preferably T-SQL)
  • Communication skills
  • Data Visualization Tools
  • Software Development Life Cycle (SDLC)
  • Data Governance
  • Documentation Tools and Platforms

Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$81,873-104,388/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • Medical, Dental, Vision, Life, Long and Short-Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.