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Data Analytics Jobs in Inwood, WV (NOW HIRING)

SHR Consulting Group, LLC

Data Analyst SME

Bluemont, VA · On-site

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 ...

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 ...

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

Develop and optimize robust data pipelines, automated ETL/ELT workflows, and analytical services to process enterprise-level data for operational use. * Enforce data governance standards, data ...

TAMKO

Manufacturing Data Scientist

Frederick, MD · On-site

As a Manufacturing Data Scientist at TAMKO, you will be integral to executing the AI and data-driven analytics strategies that perfect the quality, safety, and productivity of our manufacturing ...

Valley Health

Senior Data Architect

Winchester, VA · On-site

$57.50 - $86.25/hr

Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7 ...

Valley Health

Senior Data Architect

Winchester, VA

$57.50 - $86.25/hr

Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7 ...

Imperative Systems

CUAS Test Analyst

Summit Point, WV

... data analytics on a daily basis. Experience with Python, JavaScript, and Linux Experience with statistics and data analysis Excellent verbal and written communication skills Statistical modeling Data ...

Imperative Systems

CUAS Test Analyst

Summit Point, WV · On-site

... data analytics on a daily basis. Experience with Python, JavaScript, and Linux Experience with statistics and data analysis Excellent verbal and written communication skills Statistical modeling Data ...

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All JobsData Analytics JobsData Analytics Jobs in Inwood, WV

Data Analytics information

See Inwood, WV salary details

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$89

How much do data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analytics in Inwood, WV is $51.65, according to ZipRecruiter salary data. Most workers in this role earn between $41.49 and $58.51 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 job categories do people searching Data Analytics jobs in Inwood, WV look for?

The top searched job categories for Data Analytics jobs in Inwood, WV are:

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Inwood, WV as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $107,433 per year, or $51.7 per hour.

Data Analytics Engineer (Datadog)

Frederick, MD • On-site

PROLIM Global Corporation
IT Services • 201 - 500 employees
Learn more about PROLIM Global Corporationexternal

Full-time

Posted 24 days ago

Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking Data Analytics Engineer for Frederick, Maryland, United State location for one of our Top clients.
Location: Frederick, MD
Experience: 8-12 Years
Duration: 6 Months [ With possible extension]
Job Description:
We are looking for an experienced Data Analytics Engineer with strong hands-on expertise in Datadog and Performance Capacity Management (PCM). The ideal candidate will be responsible for building monitoring dashboards, analyzing application and business performance data, identifying trends, supporting capacity planning, and delivering actionable insights to improve system reliability and business operations.
Key Responsibilities
  • Design, build, and maintain Datadog dashboards, monitors, alerts, and APM solutions.
  • Analyze application, infrastructure, and business performance metrics to identify trends, anomalies, and optimization opportunities.
  • Perform performance and capacity analysis using Performance Capacity Management (PCM) methodologies.
  • Create and maintain dashboards and reports for business and technical stakeholders.
  • Support root cause analysis using Datadog logs, traces, and APM.
  • Develop daily, weekly, and monthly reports on system health, performance, and capacity utilization.
  • Collaborate with Engineering, Operations, and Business teams to define KPIs, SLAs, and SLOs.
  • Translate technical monitoring data into meaningful business insights and recommendations.
  • Maintain documentation for monitoring standards, reporting processes, and capacity management.
  • Recommend process improvements based on data-driven analysis.

Required Skills
  • 8-12 years of experience as a Data Analytics Engineer, Performance Analyst, or similar role.
  • Strong hands-on experience with Datadog (Dashboards, Monitoring, APM, Log Management, Alerting).
  • Experience with Performance Capacity Management (PCM) and Capacity Planning.
  • Strong SQL skills for data analysis and reporting.
  • Experience analyzing system performance and business metrics.
  • Knowledge of KPI, SLA, and SLO monitoring.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work collaboratively with Engineering, Operations, and Business teams.

Preferred Skills
  • Power BI or Tableau.
  • Advanced Microsoft Excel.
  • AWS, Azure, or GCP monitoring experience.
  • Python or R for data analysis and forecasting.
  • Knowledge of ITIL / IT Service Management (ITSM).
  • Datadog or ITIL certification is a plus.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field.

If you're passionate about data analytics, observability, performance monitoring, and capacity management, and have strong Datadog expertise, we'd love to hear from you
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.
Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

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