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Remote Data Analysis Jobs in West Virginia (NOW HIRING)

This is a remote role. Candidates must reside in the United States. HOW A HEALTHCARE CLAIMS DATA ANALYST WILL MAKE AN IMPACT: * Working with a multi-disciplinary team of Data Scientists, Business ...

Sr. Healthcare Data Analyst (Medicaid)

WV · On-site +1

$110K - $149K/yr

Perform data analysis, interpretation, and reporting duties. Develops rules and methodologies for ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

SAP Data Migration Engineer

WV · On-site +1

$97K - $127K/yr

This is a remote position. Responsibilities: * Execute data extractions from SAP ECC using SAP Data Services (BODS). * Query and analyze source and staging data using SAP HANA SQL. * Build, maintain ...

Experience with SQL (read-only analysis). * Experience with STTM and data mapping tools ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

$59 - $76/hr

Evolve our existing batch, analytics and MLOps platforms improving reliability, cost, and ... Experience with data modeling, schema design, and data quality as platform engineering concerns.

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats ... Remote Office (US99)

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats ... Remote Office (US99)

Financial Analyst

WV · Remote

$64K - $86K/yr

Skills: Data Analysis, Financial Reports, Forecasting, Microsoft Excel Functions, Oracle ... Location: remote GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the ...

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

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Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

What are the most commonly searched types of Data Analysis jobs in West Virginia?

The most popular types of Data Analysis jobs in West Virginia are:

What are popular job titles related to Remote Data Analysis jobs in West Virginia?

For Remote Data Analysis jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Analysis jobs in West Virginia look for?

The top searched job categories for Remote Data Analysis jobs in West Virginia are:

What cities in West Virginia are hiring for Remote Data Analysis jobs?

Cities in West Virginia with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in West Virginia as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution.

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Re-posted 12 days ago


Job description

OVERVIEW

We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.

Project Details

Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate

Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).

Key Responsibilities
  • Creatively writing prompts and responses to a variety of diverse topics
  • Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
  • Evaluate model outputs for accuracy, relevance, and instruction-following
  • Identify and document issues such as hallucinations and inconsistencies
  • Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
  • Training teams on best practices for creating Large Language Models/Data sets
Requirements
  • Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
  • Native or near-native English with excellent writing skills
  • Strong attention to detail and ability to follow guidelines consistently
  • Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
  • 4 year Accredited College degree or equivalent experience

Ways to stand out from the crowd:

  • College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
  • Experience working in annotation platforms or structured labeling environments is a plus
  • Deep understanding of Large Language Models/RLHF
  • Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
  • QA/testing experience

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.