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Remote Data Analyst Fintech Jobs in West Virginia

Experian

$70K - $96K/yr

Passion for helping Fintech clients solve complex business challenges through data, analytics ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

GDIT

Sr. Healthcare Data Analyst (Medicaid)

WV · On-site +1

$110K - $149K/yr

Big Data, Data Analytics, Statistical Analysis Certifications: None Experience: 5 + years of ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Experian

$70K - $96K/yr

Passion for helping Fintech clients solve complex business challenges through data, analytics ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

GDIT

Call Center Speech Analyst - REMOTE!

WV · On-site +1

$50K - $66K/yr

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Customer Service, Data ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

New

GDIT

Data Analysis Manager

WV · On-site +1

Yes Data Analytics Manager The Data Analytics Manager will lead a remote, cross-functional team of data analysts, systems analysts, and data scientists delivering analytics products, data systems ...

GDIT

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 ...

Forhyre

Senior Product Analyst

Charleston, WV · On-site +1

... of fintech, SMB software, and consumer services. About the Role As a Senior Product Analyst at ... Collaborating with leaders across Product, Design, Analytics Engineering, Data Engineering, and the ...

Juno Inc

Analytical: You can interpret data, spot insights, and track progress * Resourceful & scrappy: You ... fintech growth mechanics

Juno Inc

Analytical: You can interpret data, spot insights, and track progress * Resourceful & scrappy: You ... fintech growth mechanics

Experian

$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.

CSAA

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 ...

GDIT

Analytics Engineer

WV · On-site +1

$127K - $172K/yr

Yes The Senior Analytics Engineer provides advanced analytics and data engineering support across ... drive data-informed decisions and operational efficiency. This position is fully remote and ...

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Remote Data Analyst Fintech information

What does a remote data analyst in fintech do?

A Remote Data Analyst in Fintech is responsible for collecting, processing, and analyzing financial data to help companies make informed business decisions. They work with large datasets, identify trends, and generate actionable insights to improve financial products or services. This role often requires proficiency in data analysis tools, strong statistical skills, and an understanding of financial markets or payment systems. As the position is remote, communication and collaboration are typically conducted online using digital tools.

How does a remote data analyst in fintech typically collaborate with cross-functional teams?

As a Remote Data Analyst in fintech, you will regularly collaborate with product managers, engineers, and business analysts through virtual meetings and digital project management tools. Clear communication is essential, as you'll often translate complex data findings into actionable insights for non-technical stakeholders. Collaboration usually involves participating in sprint meetings, sharing dashboards, and providing real-time data support to optimize product features or enhance risk assessment processes. Building strong remote working relationships is key to ensuring alignment and timely delivery of analytics solutions.

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

To thrive as a Remote Data Analyst in Fintech, you need strong analytical abilities, proficiency in statistics, and a background in finance, typically supported by a relevant degree. Expertise in technical tools such as SQL, Python, data visualization platforms (e.g., Tableau), and experience with financial modeling or risk analysis systems are often required. Strong problem-solving skills, attention to detail, and effective remote communication make candidates stand out in this role. These skills are crucial for delivering accurate data-driven insights that support financial decision-making and regulatory compliance in a fast-evolving industry.

What is the difference between Remote Data Analyst Fintech vs Remote Data Analyst Banking?

AspectRemote Data Analyst FintechRemote Data Analyst Banking
CredentialsBachelor's in Data Science, Finance, or related fields; certifications like CFA or Microsoft Data certificationsBachelor's in Finance, Economics, or Data Science; similar certifications often preferred
Work EnvironmentStartups, tech companies, online platforms in financial technologyTraditional banks, financial institutions, online banking services
Industry UsageUsed in innovative financial apps, digital payment platforms, and online lendingApplied in retail banking, investment banking, and financial services

The main difference between a Remote Data Analyst Fintech and a Remote Data Analyst Banking lies in their industry focus. Fintech analysts work primarily with innovative financial technology companies, while banking analysts are employed within traditional banking institutions. Both roles require similar skills and certifications but differ in work environment and industry applications.

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

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

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

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

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

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

Remote Data Analyst Fintech jobs near you

Generative AI Data Analyst - USA (Remote)

Charleston, WV • Remote

Welo Data
Data Services • 1 - 5K employees
Learn more about Welo Dataexternal

$27.38/hr

Full-time

Re-posted 19 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.