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Data Analysis Assistant Jobs in West Virginia (NOW HIRING)

Stryker

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources * Support data extraction, cleaning, and analysis of ...

Stryker

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources * Support data extraction, cleaning, and analysis of ...

Stryker

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources * Support data extraction, cleaning, and analysis of ...

Stryker

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources * Support data extraction, cleaning, and analysis of ...

Stryker

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources * Support data extraction, cleaning, and analysis of ...

SiloSmashers

Data Analyst- WV

Clarksburg, WV · On-site

Support analysis of legacy summary reporting versus incident-based reporting. * Update and maintain ... Validate XML and flat-file submissions and ensure business rules are properly applied. * Assist ...

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Data Analysis Assistant information

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How much do data analysis assistant jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data analysis assistant in West Virginia is $14.75, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $16.54 per hour, depending on experience, location, and employer.

What does a data analysis assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

What are the key skills and qualifications needed to thrive as a data analysis assistant?

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What are some common challenges faced by data analysis assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What are the most commonly searched types of Data Analysis jobs in West Virginia?

The most popular types of Data Analysis jobs in West Virginia are:

What are popular job titles related to Data Analysis Assistant jobs in West Virginia?

For Data Analysis Assistant jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Data Analysis Assistant jobs in West Virginia look for?

The top searched job categories for Data Analysis Assistant jobs in West Virginia are:

What cities in West Virginia are hiring for Data Analysis Assistant jobs?

Cities in West Virginia with the most Data Analysis Assistant job openings:

Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $30,680 per year, or $14.8 per hour.

NewForce Entry Level Data Analyst (2026)

Generation West Virginia

Charleston, WV • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

About Inspira Analytics

Inspira Analytics is a data consulting firm based in Charleston, WV, helping small to mid-sized businesses unlock the power of their data. From basic reporting to advanced visualization and forecasting, we make complex information simple and strategic. We serve a wide range of industries including healthcare, logistics, and retail-providing clean, clear, and customized analytics that meet our clients where they are. We are also passionate about workforce development in Appalachia. Our team includes local talent trained in modern analytics tools and techniques, and we invest heavily in early-career professionals through mentorship and hands-on learning.

Mission: To empower organizations with accessible, accurate, and actionable data insights that drive smarter decisions and sustainable growth. 

Vision: To be the most trusted partner in transforming raw data into meaningful intelligence-one insight at a time.

What we do:

  • Custom dashboards and reporting (Tableau, Power BI)
  • SQL and Python data pipelines
  • Data cleaning and integration
  • Data analytics training and upskilling
Job Summary

We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Junior Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.

Junior Data Analyst Duties and Responsibilities
  • Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
  • Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
  • Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
  • Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
  • Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
  • Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
  • Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.

Requirements

  • Strong analytical skills and a passion for working with data.
  • Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication skills, with the ability to translate complex data into understandable insights.
  • Detail-oriented and capable of maintaining data accuracy and integrity.
  • Strong problem-solving skills and the ability to think critically.
  • Highly organized and able to manage multiple tasks and deadlines effectively.
  • Team player with a collaborative mindset and the ability to work well in a diverse team environment.
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.

Benefits

  • 401(k)
  • Dental insurance
  • Disability insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Bonus opportunities

Apply