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Python Data Analyst Jobs in West Virginia (NOW HIRING)

Danaher

Digital Analyst Internships

Wheeling, WV · On-site

$98K - $116K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Huntington, WV · On-site

$83K - $98K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Parkersburg, WV · On-site

$96K - $114K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Charleston, WV · On-site

$95K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Morgantown, WV · On-site

$101K - $119K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Huntington, WV · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Morgantown, WV · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Parkersburg, WV · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Wheeling, WV · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Charleston, WV · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

Experian

$81K - $107K/yr

Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas. * Solid foundation in statistics and machine learning best practices. * Experience with regression ...

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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 Jul 12, 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.

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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 10% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $63,977 per year, or $30.8 per hour.
Digital Analyst Internships

Digital Analyst Internships

Danaher

Wheeling, WV • On-site

$98K - $116K/yr

Other

Re-posted 20 days ago

Danaher rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

Job description

How It Works

This is not an active job listing. By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. While the roles described here reflect the types of positions we typically recruit for, specific openings have not yet been finalized. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available.

About Digital Analyst Roles at Danaher

Are you passionate about data, customer experience, and driving meaningful improvements through insights? As a Digital Analyst Intern, you’ll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power our web platforms.

What You Might Work On

  • Documenting system integrations and workflows within digital platforms

  • Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights

  • Supporting usability testing and interpreting user behavior data to recommend experience improvements

  • Preparing detailed reports and presentations to communicate findings to the Digital Customer Experience Team

  • Collaborating closely with cross-functional teams to help build a world-class digital organization

Who This Is For

  • Students currently pursuing a bachelor’s degree in Computer Science, Information Systems, or a related field

  • Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex data sets

  • Experience or coursework in documenting system integrations and workflows

  • Strong analytical mindset and attention to detail

Bonus:

  • Knowledge of usability testing methods and tools

  • Basic programming or scripting experience in Python, SQL, or JavaScript

  • Experience with Sitecore or other Content Management Systems

Company Description

At Beckman Coulter Diagnostics, part of the Danaher family, we’ve been advancing laboratory science for over 80 years, dedicated to improving patient lives worldwide through innovation. Our culture celebrates diverse backgrounds and perspectives, and we invest in your career growth through mentorship and meaningful hands-on experiences. Join us and help reimagine healthcare, one diagnosis at a time.

What Danaher employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984

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