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Remote Data Analyst Jobs in Fulton, MO (NOW HIRING)

DataAnnotation

FP&A Manager - AI Trainer

Columbia, MO · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Fulton, MO

Remote Data Analyst information

See Fulton, MO salary details

$29.2K

$71K

$116.8K

How much do remote data analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote data analyst in Fulton, MO is $70,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $83,300.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Fulton, MO? The most popular types of Data Analyst jobs in Fulton, MO are:
What cities near Fulton, MO are hiring for Remote Data Analyst jobs? Cities near Fulton, MO with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Fulton, MO as of June 2026, with employment types broken down into 50% Full Time, 40% Part Time, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,980 per year, or $34.1 per hour.
Postdoctoral Research Associate in Geospatial AI (GeoAI) and Forest Health

Postdoctoral Research Associate in Geospatial AI (GeoAI) and Forest Health

Lincoln University

Jefferson City, MO • On-site, Remote

Full-time

Posted 14 days ago

Job description

PURPOSE:

The Postdoctoral Research Associate will engage in research and development of a GeoAI-powered early warning system for forest health by integrating multi-source geospatial data, including satellite imagery, UAV-based LiDAR and multispectral data, and environmental datasets.

This position supports a USDA-NIFA funded project focused on detecting early indicators of forest stress, pest infestation, and environmental disturbances using advanced artificial intelligence and geospatial analytics. The role contributes to research, education, and extension activities in Missouri and supports the broader mission of advancing innovation in geospatial science and environmental monitoring.

ESSENTIAL JOB FUNCTIONS, DUTIES, & RESPONSIBILITIES:

  • Plan and implement research activities focused on early detection of forest stress, disturbance, and ecological change using geospatial analytics and artificial intelligence. 
  • Compile, collect, clean, and process geospatial and ancillary datasets from multiple sources, including satellite imagery, UAV-based LiDAR, multispectral imagery, and environmental data. 
  • Develop, train, and optimize GeoAI models using machine learning and deep learning techniques for spatial analysis and predictive modeling.
  • Validate GeoAI models through field verification and collaboration with the Missouri Ozark Forest Ecosystem Project (MOFEP). 
  • Develop decision-support tools and interfaces that translate complex geospatial outputs into usable information for stakeholders. 
  • Contribute to peer-reviewed publications, conference presentations, and technical documentation required for project deliverables. 
  • Mentor graduate and undergraduate students involved in research activities. 
  • Collaborate with interdisciplinary teams across research, extension, and education initiatives. 
  • Maintain accurate records of research activities, methodologies, and results. 
  • Perform other duties as assigned by the supervisor in support of project goals.

KNOWLEDGE, SKILLS, & ABILITIES:

  • Strong understanding of Geospatial Artificial Intelligence (GeoAI), including integration of machine learning and deep learning methods with geospatial and environmental datasets. 
  • Proficiency in programming languages such as Python or R, including experience with relevant libraries for data analysis, modeling, and visualization. 
  • Knowledge of spatial data processing, geostatistics, and remote sensing techniques. 
  • Familiarity with multi-source data integration and spatial modeling workflows. 
  • Experience working with geospatial software and tools such as GIS platforms, remote sensing tools, and data processing frameworks. 
  • Ability to interpret scientific data and translate findings into actionable insights. 
  • Strong analytical, problem-solving, and critical thinking skills. 
  • Effective written and verbal communication skills for technical and academic audiences. 
  • Ability to work both independently and collaboratively within interdisciplinary research teams. 
  • Strong organizational skills and ability to manage multiple tasks and deadlines.

QUALIFICATIONS:

  • Ph.D. in Geospatial Science, Geography, Remote Sensing, Data Science, Forestry, Environmental Science, or a closely related field.
  • Valid driver's license. 
  • Must have or be able to obtain a Remote Pilot Certificate (FAA Part 107). 
  • Demonstrated experience conducting independent research.
  • Ability to manage research timelines and deliverables within a grant-funded project.

PREFERRED QUALIFICATIONS:

  • Experience working with UAV or LiDAR data for environmental or forestry applications. 
  • Background in applying machine learning methods to geospatial or ecological datasets. 
  • Demonstrated record of peer-reviewed publications or scientific research dissemination.
  • Ability to work independently and manage projects with minimal supervision.
  • Strong organizational and problem-solving skills, particularly when working with large or complex datasets.
  • Experience collaborating across interdisciplinary teams.

PHYSICAL DEMANDS:

  • Work will be conducted in both office and outdoor field environments.
  • Fieldwork may involve walking in forested terrain and working in variable weather conditions.
  • Ability to lift and transport equipment weighing up to 40 pounds.
  • Ability to travel to research sites as needed.

This job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of Lincoln University. Since no job description can detail all the duties and responsibilities that may be required from time to time in the performance of a job, duties and responsibilities that may be inherent in a job, reasonably required for its performance, or required due to the changing nature of the job shall also be considered part of the jobholder's responsibility.

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