Data Analyst Jobs in Charleston, WV

Charleston, West Virginia$65,100 USD/yearFull-time
Updated: March 2026Expert reviewed|Data sourced from BLS, Glassdoor, and industry reports

Data Analyst Salary in Charleston

Entry Level
$42,840
Median
$65,100
Senior Level
$91,770

Data Analyst salaries in Charleston are 16% below the national average, though the lower cost of living often provides similar purchasing power.

Purchasing power in Charleston is comparable to the national average, with salaries appropriately scaled to local costs.

Required Skills

SQLExcelPythonData VisualizationStatistics

Data Analyst Job Market in Charleston

Charleston, WV is a specialized market with unique career opportunities for Data Analyst professionals. Though smaller than coastal metros, Charleston offers focused opportunities and often better work-life balance. While Government leads the local economy, there's growing demand for Data Analyst roles across various sectors. With high demand and 23% projected growth, qualified Data Analysts often receive multiple offers and competitive packages.

Top Companies Hiring Data Analysts in Charleston

Local tech startupsRegional IT firmsNational tech companies with local offices

Major employers hiring Data Analysts in Charleston include Local tech startups, Regional IT firms, National tech companies with local offices. Many companies offer competitive benefits including remote/hybrid work options, comprehensive healthcare, and professional development opportunities.

Cost of Living for Data Analysts in Charleston

Living in Charleston as a Data Analyst means navigating a cost of living that's below the national average, making it an attractive option for budget-conscious professionals. Average rent for a 1-bedroom apartment is approximately $1,800/month. Housing costs are manageable for Data Analyst salaries in the area. Suburban apartments average $1,400/month, offering significant savings with slightly longer commutes.

84
Cost Index (100=avg)
$1.8K
Avg Rent/Month
Growing
Tech Hub
Tier 4
Market Size

Commuting as a Data Analyst in Charleston

Charleston Limited public transit options; car recommended for most commutes. The average commute time is 25 minutes. Research employer-specific shuttle services. Consider living close to your workplace. Many Data Analyst positions offer remote or hybrid options, which can significantly reduce commute frequency.

Best neighborhoods for Data Analysts in Charleston: Downtown (Central business district with tech companies); Tech Park/Campus (Suburban office park developments). Downtown is particularly popular among Data Analyst professionals due to proximity to major employers and urban amenities.

Tax Considerations in West Virginia

West Virginia has moderate state income taxes. When evaluating offers, consider total compensation including benefits, not just base salary. Local cost of living typically has more impact on your finances than state tax differences.

Career Outlook for Data Analysts

The job outlook for Data Analysts in Charleston is growing. Industry projections suggest 23% growth over the next decade, outpacing many other professions. While the market is smaller, Charleston offers opportunities for those seeking specialized roles or better work-life balance. In-demand skills include SQL, Excel, Python, Data Visualization.

Relocating to Charleston

Charleston's affordable cost of living means your Data Analyst salary will stretch further than in major coastal cities. Many professionals relocate here for better quality of life. Many Data Analyst roles offer remote work. If relocating primarily for a job, confirm the remote policy - you may have more location flexibility than expected.

Remote Work for Data Analysts in Charleston

Data Analyst roles are highly suited for remote work, and many Charleston employers offer fully remote or hybrid positions. This flexibility can significantly impact your housing choices - you may be able to live in more affordable neighborhoods further from downtown.

Frequently Asked Questions

What is the average Data Analyst salary in Charleston, WV?

The average Data Analyst salary in Charleston, WV is $65,100 per year. Entry-level Data Analysts typically start around $42,840, while experienced professionals can earn $91,770 or more. The national average for Data Analyst roles is $77,500.

How many Data Analyst jobs are available in Charleston?

Charleston has a growing job market with steady opportunities for Data Analyst professionals. Major employers hiring Data Analysts include Local tech startups, Regional IT firms, National tech companies with local offices. The Government and Healthcare sectors drive much of the demand in this market.

Is Charleston a good city for Data Analysts?

Charleston is an solid choice for Data Analysts. While not as large as coastal metros, it offers solid opportunities and often better work-life balance. The affordable cost of living means salaries go further than in more expensive markets. The city's government industry creates strong demand for technology & software professionals.

What skills are most in-demand for Data Analysts in Charleston?

Top skills for Data Analysts in Charleston include SQL, Excel, Python, Data Visualization, Statistics. Employers value both technical expertise and soft skills like communication and teamwork. Relevant certifications like Google Data Analytics or Tableau Desktop Specialist can strengthen your candidacy.

What is the cost of living for Data Analysts in Charleston?

Charleston's cost of living is below the national average (84% of baseline). Average rent for a 1-bedroom apartment is approximately $1,800/month. Purchasing power in Charleston is comparable to the national average, with salaries appropriately scaled to local costs.

How is the commute for Data Analysts in Charleston?

Charleston Limited public transit options; car recommended for most commutes. The average commute is 25 minutes. Research employer-specific shuttle services. Many Data Analyst positions offer remote or hybrid work options, which can significantly reduce commute frequency.

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