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Data Analytics Jobs in Bridgeport, WV (NOW HIRING)

SiloSmashers

Data Analyst- WV

Clarksburg, WV · On-site

Bachelor's degree in Data Analytics, Statistics, Criminal Justice, Information Systems, or related field. * Working knowledge of Power BI (visualizations, dataset refresh, basic DAX). * Ability to ...

SiloSmashers

Data Analyst- WV

Clarksburg, WV · On-site

Required QualificationsBachelor 's degree in Data Analytics, Statistics, Criminal Justice, Information Systems, or related field.Working knowledge of Power BI (visualizations, dataset refresh, basic ...

SiloSmashers

Data Analyst- WV

Clarksburg, WV · On-site

Bachelor's degree in Data Analytics, Statistics, Criminal Justice, Information Systems, or related field. * Working knowledge of Power BI (visualizations, dataset refresh, basic DAX). * Ability to ...

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · On-site

$66 - $88.25/hr

Develop analytical tools and reporting solutions that support data ingest analysis, data management, and enterprise analytics. * Design and maintain data processing pipelines and automation projects ...

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

Develop analytical tools and reporting solutions that support data ingest analysis, data management, and enterprise analytics. * Design and maintain data processing pipelines and automation projects ...

Infinity Natural Resources

Senior SCADA Analyst

Morgantown, WV · On-site

$90K - $119K/yr

A Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related technical field. * Core Experience: 5+ years of experience supporting enterprise-level applications, with a ...

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All JobsData Analytics JobsData Analytics Jobs in Bridgeport, WV

Data Analytics information

See Bridgeport, WV salary details

$24

$55

$96

How much do data analytics jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for data analytics in Bridgeport, WV is $55.66, according to ZipRecruiter salary data. Most workers in this role earn between $44.71 and $63.03 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What cities near Bridgeport, WV are hiring for Data Analytics jobs?

Cities near Bridgeport, WV with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Bridgeport, WV as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,765 per year, or $55.7 per hour.

Data Analyst- WV

SiloSmashers

Clarksburg, WV • On-site

Full-time

Re-posted 3 days ago

Job description

Role Summary

Provides hands-on data review, quality checks, ingestion validation, and routine analytic support for national crime-reporting datasets. Works closely with program staff to ensure data completeness, accuracy, and consistency across multiple collection systems.

Key Duties

  • Perform routine data-quality checks, validation, and completeness assessments.
  • Compare data across systems and verify accuracy during data ingestion and transformation.
  • Identify anomalies resulting from RMS programming or reporting practices.
  • Support analysis of legacy summary reporting versus incident-based reporting.
  • Update and maintain existing Power BI dashboards; assist in building new reports.
  • Prepare summary reports and findings for program leadership.
  • Validate XML and flat-file submissions and ensure business rules are properly applied.
  • Assist with documentation of data-quality processes and workflow steps.

Required Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Criminal Justice, Information Systems, or related field.
  • Working knowledge of Power BI (visualizations, dataset refresh, basic DAX).
  • Ability to identify data anomalies and clearly articulate findings.
  • Familiarity with XML or flat-file datasets.

Preferred Qualifications

  • Experience with crime-data reporting, public-sector data programs, or RMS systems.
  • Understanding of data-quality standards and basic statistical methods.

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