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Remote Data Analyst Jobs in Wheeling, WV (NOW HIRING)

ICF

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)

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Wheeling, WV

Remote Data Analyst information

See Wheeling, WV salary details

$33.9K

$82.3K

$135.5K

How much do remote data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote data analyst in Wheeling, WV is $82,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,600.00 per year, depending on experience, location, and employer.

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 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.

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, 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.

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 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.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Wheeling, WV?

The most popular types of Data Analyst jobs in Wheeling, WV are:

What are popular job titles related to Remote Data Analyst jobs in Wheeling, WV?

For Remote Data Analyst jobs in Wheeling, WV, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Wheeling, WV look for?

The top searched job categories for Remote Data Analyst jobs in Wheeling, WV are:

What cities near Wheeling, WV are hiring for Remote Data Analyst jobs?

Cities near Wheeling, WV with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Wheeling, WV as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $82,326 per year, or $39.6 per hour.

Data Engineer (Remote)

Glen Dale, WV • Remote

ICF
Business Management Consulting • 5 - 10K employees
Learn more about ICFexternal

$96K - $116K/yr

Full-time

Re-posted 19 days ago

Job description

This role supports the large-scale modernization of legacy systems by leading the migration of documentation and records into a cloud-based environment. The position focuses on transforming document-heavy workflows into structured, digital processes, while enabling seamless data integration across systems using MuleSoft APIs. The work directly supports enhanced analytics, reporting, and operational efficiency for a mission-critical enterprise platform.


Responsibilities

  • Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation (Salesforce-centric).

  • Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats using Document AI.

  • Implement data quality processes (cleansing, deduplication, reconciliation) to ensure accuracy and completeness post-migration.

  • Support phased migration and system cutover with minimal operational disruption.

  • Design, build, and maintain MuleSoft integrations, including API development for real-time and batch data exchange.

  • Apply data transformation logic (e.g., DataWeave) and troubleshoot integration/data flow issues across systems.

  • Contribute to Salesforce Data 360 implementation, including data harmonization, identity resolution, and unified profiles.

  • Ensure proper data ingestion, lineage, metadata management, and traceability across the ecosystem.

  • Ensure compliance with data governance, privacy, and security requirements (e.g., PII).

  • Collaborate in Agile teams; support testing, documentation, and audit readiness across migration and integration efforts.


Required Qualifications

  • U.S. Citizenship required due to federal contract requirements

  • Ability to obtain and maintain a Public Trust clearance

  • Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years

  • 6+ years of experience in data engineering, data migration, or data integration roles

  • Proven experience executing large-scale data migration efforts, including legacy system transformation

  • 2+ years hands-on experience with Salesforce data migrations, including data modeling, data loading (e.g., Data Loader, APIs), and managing relational datasets

  • 2+ years' experience implementing data quality, validation, and reconciliation processes during migration efforts

Preferred Qualifications

  • Current or recent Public Trust or active Secret clearance

  • Experience supporting DHS or other federal agencies

  • 1+ year Experience using Informatica (e.g., PowerCenter, IICS) for ETL/ELT development, data mapping, and pipeline orchestration

  • 2+ years proficiency in SQL and relational data modeling concepts

  • Experience working with both structured and unstructured data, including document-based records

  • 1+ year Experience supporting or developing MuleSoft integrations, including API development, data transformations, and system-to-system data flows

  • 1+ years experience with MuleSoft Anypoint Platform, including DataWeave and API-led connectivity patterns

  • Familiarity with cloud-based SaaS platforms and distributed data architectures

  • Familiarity with metadata management, data lineage, and audit frameworks

  • Experience working in federal or highly regulated environments

  • Experience supporting Agile delivery teams and cross-functional collaboration

  • Experience supporting large-scale, document-centric system migrations

  • Familiarity with Docusign eSignature and Contract Lifecycle Management (CLM) products a plus

  • Experience with Salesforce Data 360 (Data Cloud), including data harmonization and identity resolution

  • Experience with Salesforce Document AI / Intelligent Document Processing (IDP) tools for extracting structured data from documents

  • Understanding of data governance, security, and compliance requirements, particularly for sensitive data (e.g., PII)

#ICFcleared


Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration.Failure to do so may result in the application being excluded for consideration.Applicants needing an accommodation for disability or religious purposes in connection with the application process should contactCandidateaccommodation@icf.comfor assistance.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$98,614.00 - $167,644.00Nationwide Remote Office (US99)

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