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Data Analyst Jobs in Inwood, WV (NOW HIRING)

SHR Consulting Group, LLC

Data Analyst SME

Bluemont, VA · On-site

We are seeking a Data Analyst SME to serve as FEMA's authoritative expert for analytical strategy, enterprise-wide dashboards, performance metrics, and advanced modeling. Key Responsibilities: Advise ...

Inventwood

R & D Data Analyst

Frederick, MD · On-site

General Summary / Position Purpose The R&D Data Analyst turns the data behind SUPERWOOD -- a molecularly densified wood material -- into the insights that drive our research forward. It's an ...

Trex

Continuous Improvement Engineer II

Winchester, VA · On-site

$78K - $112K/yr

We want to hear from you if you have previous experience as a data analyst or a data scientist in engineering. At Trex, we believe in persevering even when there's no road map, embracing ...

All JobsData Analyst JobsData Analyst Jobs in Inwood, WV

Data Analyst information

See Inwood, WV salary details

$32.1K

$78K

$128.3K

How much do data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analyst in Inwood, WV is $77,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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What are the most commonly searched types of Data Analyst jobs in Inwood, WV?

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Cities near Inwood, WV with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Inwood, WV as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $77,967 per year, or $37.5 per hour.

Data Analyst SME

Bluemont, VA • On-site

SHR Consulting Group, LLC
IT Services • 51 - 200 employees
Learn more about SHR Consulting Group, LLCexternal

Full-time

Medical, Dental, Retirement, PTO

Posted 5 days ago

Job description

SHR – Software Hardware Re-engineered

SHR is a premier technology integrator solving our nation’s most complex modernization and readiness challenges across the defense, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration, enterprise IT, including cloud services: cyber, software, advanced analytics, and AI. With an intimate understanding of our customers’ challenges and deep expertise in existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions.

We are seeking a Data Analyst SME to serve as FEMA’s authoritative expert for analytical strategy, enterprise-wide dashboards, performance metrics, and advanced modeling.

Key Responsibilities:

Advise leadership on analytic strategy and modernization.

Lead enterprise analytics platforms and data governance.

Oversee complex forecasting, modeling, and cross-agency reporting.

Develop enterprise KPI frameworks.

 

Minimum Requirements:

More than 10 years of experience in a related role.

Mastery of advanced analytics and data visualization.

Deep familiarity with FEMA and DHS data requirements.

Strategic advisory and leadership skills.

 

Education and Certification Requirements:

Bachelor’s degree in Math, Statistics, or related field. Master’s degree preferred.

Analytics Certifications Preferred.


Clearance Requirements:

U.S. Citizenship.

Ability to obtain Public Trust. Active Public Trust is preferred. FEMA Public Trust is highly preferred.


What We Offer:

Competitive salary based on experience and qualifications.

Comprehensive benefits package including health, dental, and retirement plans with company match.

Paid time off and federal holidays.

Professional development support.



We are an Equal Opportunity Employer and consider all qualified applicants without regard to protected characteristics under applicable law. EEO/AA Employer/Veteran/Disabled.

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