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Remote Applied Data Analytics Jobs in Bluefield, WV

Digital Links Inc

AI & Data Engineer (W2)

Glen Lyn, VA · Remote

$117K - $140K/yr

Remote US, light travel may be required Employment Type: Contract-to-Hire (6 Months) Top Skills ... This role combines applied machine learning, AI agent development, and hands-on data engineering ...

Snowrelic Inc

Lead Data Engineer (BI/ETL) (W2)

Glen Lyn, VA · Remote

$104K - $138K/yr

Remote (USA) Note: Need only USC/GC This role is for an Engineering Leader who will guide a small, high-performing team of data engineers, analysts, and BI developers within a large enterprise data ...

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Remote Applied Data Analytics information

See Bluefield, WV salary details

$23

$51

$88

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

As of Aug 8, 2026, the average hourly pay for remote applied data analytics in Bluefield, WV is $51.45, according to ZipRecruiter salary data. Most workers in this role earn between $41.35 and $58.27 per hour, depending on experience, location, and employer.

What is remote applied data analytics?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

What are the key skills and qualifications needed to thrive as a remote applied data analytics professional?

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

Can a remote applied data analytics get a remote job?

Yes, remote applied data analytics professionals can find remote job opportunities, especially as many companies offer remote positions for data analysis roles. Success often depends on skills in data tools like SQL, Python, or R, and the ability to work independently in a virtual environment.

Can you work remotely in remote applied data analytics?

Remote applied data analytics roles are commonly available, allowing professionals to work from home or other locations. These jobs often require skills in data analysis tools like Python, R, or SQL, and may involve collaboration via online platforms. Many companies offer flexible schedules for remote data analysts, depending on project needs and company policies.
Remote Applied Data Analytics jobs near you

AI & Data Engineer (W2)

Digital Links Inc

Glen Lyn, VA • Remote

$117K - $140K/yr

Contractor

Re-posted 21 days ago

Job description

Role: AI & Data Engineer
Location: Remote US, light travel may be required
Employment Type: Contract-to-Hire (6 Months)
 
Top Skills: RAG, Snowflake, SQL/Oracle, JSON/API’s, Python/Java, AWS S3, CI/CD (Git/GitHub)
Preferred Skills: Openpages, enterprise security and governance understanding.
 
We are seeking an experienced AI and Data Engineer to design and deploy AI-driven solutions and enterprise data integrations. This role combines applied machine learning, AI agent development, and hands-on data engineering within a governed enterprise environment.
 
The successful candidate is a hands-on engineer who can independently deliver secure, scalable AI and data solutions—building production-ready models and agents, engineering robust data pipelines, and ensuring all solutions meet enterprise security, architecture, compliance, and cross-functional review standards.
 
Key Responsibilities
Develop and deploy classification models and retrieval-augmented generation (RAG) chat agents.
Design prompts, retrieval strategies, tool orchestration, and evaluation frameworks.
Implement guardrails aligned with enterprise AI governance and security requirements.
Monitor and report model performance (accuracy, latency, cost, reliability).
Build and maintain data ingestion and transformation pipelines.
Extract and transform semi-structured data (JSON) from OpenPages via API into Snowflake-compatible formats.
Load data into Snowflake using CLI utilities or AWS S3 staging.
Integrate enterprise systems including Teradata, DB2, Oracle, CRM platforms, ticketing systems, and internal/external APIs.
Support CI/CD processes and deployment standards across environments.
Produce architecture diagrams, data flow documentation, and technical artifacts required for review processes.
Participate in security, architecture, and open-source approval workflows.
Contribute to monitoring, deployment procedures, and operational documentation.
Collaborate through code reviews, pull requests, and Agile ceremonies (JIRA/Confluence).
 
Required Qualifications
Experience building and operationalizing machine learning models and AI agents in production environments.
Strong Snowflake and enterprise data engineering experience.
Proficiency in SQL and Python and Java.
Experience working with APIs and semi-structured data (JSON).
Familiarity with Teradata, DB2, Oracle, and OpenPages preferred.
Experience operating within regulated or governance-driven enterprise environments.
Strong problem-solving and communication skills.
 
Education and Experience:
· Bachelor’s degree in computer science or similar field
· 8+ years of experience as a Java or Python Developer in an enterprise level