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Python Data Analyst Jobs in West Virginia (NOW HIRING)

GDIT

Data Onboarding Coordinator

WV · On-site +1

$85K - $115K/yr

Your work directly enables reliable, wellstructured data pipelines that drive analytics ... Experience with ETL/ELT workflows, SQL , Python , or data quality tools. * Knowledge of cloud data ...

New

GDH

Data Governance Specialist

Kearneysville, WV · On-site

$63 - $68/hr

... Python. * Strong background in building large-scale data pipelines, API frameworks, and cloud-based analytical environments. * Comprehensive understanding of data governance, data architecture ...

Hagerty

Senior Data Scientist

Charleston, WV · On-site

Source and analyze features from Snowflake, SQL Server, and AWS RDS Postgres, and work with Data ... Proficient in Python and modern ML frameworks such as scikit-learn and XGBoost. * Strong in SQL and ...

Insomniac Design

Senior Data Engineer

Charleston, WV

$115K - $150K/yr

Proficiency in Python (or similar languages) for data processing and automation. * Deep ... Certifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data ...

RMS Energy

$15.50 - $20.25/hr

What You'll Do: * Develop automation scripts using Python, excel VBA, SQL, Fortran, MSAccess, epcl, C++ as required. * Assist in data analysis, database software development. * Assist in ...

Franciscan Alliance

WV · Hybrid

Turn data into insight. Analyze wage and labor costs to identify trends, variances, anomalies, and ... Python; Power BI/Tableau; workforce structure, organizational design, span of control, labor ...

New

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in West Virginia

Python Data Analyst information

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$26.3K

$64K

$105.3K

How much do python data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for python data analyst in West Virginia is $63,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $75,100.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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What job categories do people searching Python Data Analyst jobs in West Virginia look for?

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

Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $63,977 per year, or $30.8 per hour.

Oracle Technical Analyst

A.C. Coy

Weirton, WV • On-site

Full-time

Posted 2 days ago

New

Job description

We are seeking an experienced and innovative Senior Oracle Technical Analyst to join our Oracle Platform team. In this role, you will play a critical part in maintaining, optimizing, and advancing our Oracle Cloud ecosystem. The ideal candidate will have 4 to 6 years of hands-on experience supporting Oracle ERP Cloud and HCM integrations, administering Oracle Integration Cloud (OIC), and building custom reports.
As a forward-looking organization, we are also heavily investing in automation and artificial intelligence. This role offers the unique opportunity to lead AI development initiatives within our Oracle landscape, creating intelligent solutions that drive business efficiency.


Integration Support & OIC Administration:

  • Design, build, deploy, and support seamless integrations between Oracle Cloud ERP, Oracle Cloud HCM, and various internal/third-party systems using REST and SOAP web services.
  • Serve as the primary administrator for Oracle Integration Cloud (OIC), handling environment provisioning, patching, security mapping, and performance monitoring.
  • Proactively monitor integration dashboards, troubleshoot message failures, and resolve technical bottlenecks to ensure high data integrity and system availability.

Custom Report Development

  • Gather business requirements from finance, HR, and operations teams to design and deliver accurate, high-performance reports.
  • Develop and maintain custom reports and dashboards using Oracle Transactional Business Intelligence (OTBI), BI Publisher (BIP), and Oracle Analytics Cloud (OAC).
  • Extract, transform, and map complex data sets across ERP and HCM modules.

AI Development & Innovation

  • Explore, prototype, and implement AI-driven solutions within the Oracle Cloud Infrastructure (OCI) ecosystem (e.g., Oracle Digital Assistant, OCI Generative AI, or integrating third-party AI APIs).
  • Automate repetitive workflows, enhance predictive analytics, and improve user experiences within ERP and HCM utilizing modern AI/ML technologies.
  • Stay up-to-date with Oracle's latest AI release notes and technical roadmaps to advise leadership on new capabilities.

  • Two or more years of proven technical experience within the Oracle Cloud (Fusion) ecosystem.
  • Strong hands-on experience developing and troubleshooting integrations for Oracle ERP (Financials, SCM), Oracle WMS, and Oracle HCM Cloud.
  • Proficiency in building custom reports using OTBI and BI Publisher; strong understanding of Oracle Cloud data models.
  • Strong command of SQL, PL/SQL, XML, JSON, XSLT, and web service protocols (REST/SOAP).
  • Familiarity with or a strong desire to learn and implement AI technologies, scripting (Python), and automation frameworks.
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About A.C. Coy Company- Staffing & Consulting Services

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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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