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Data Analytics Jobs in Princeton, WV (NOW HIRING)

Digital Links Inc

AI & Data Engineer (W2)

Glen Lyn, VA · Remote

$117K - $140K/yr

AI & Data Engineer Location: Remote US, light travel may be required Employment Type: Contract-to-Hire (6 Months) Top Skills: RAG, Snowflake, SQL/Oracle, JSON/API's, Python/Java, AWS S3, CI/CD (Git ...

Snowrelic Inc

Lead Data Engineer (BI/ETL) (W2)

Glen Lyn, VA · Remote

$104K - $138K/yr

The focus is on delivering impactful data and analytics projects , including building data pipelines, modernizing legacy systems, and delivering executive dashboards. The right candidate combines ...

ABB

Sales Operations Specialist

Bland, VA · Remote

Bachelor's degree in Business, Engineering, Data Analytics, or similar field * 5+ years of experience in sales operations, forecasting, demand planning, sales enablement, or strategic account ...

Carter Machinery

CATERPILLAR SOFTWARE ANALYST

Princeton, WV · On-site

$21.56 - $27.10/hr

Must be able to analyze telematics data, identify trends, and present actionable insights * Manage multiple customers, subscriptions, and troubleshooting tasks effectively * Must be able to function ...

Hitachi

Training Analyst and Project Coordinator

Bland, VA · On-site

$70K - $80K/yr

... data management * Proficiency in LMS platforms and MS Office (Excel advanced) * Strong organizational skills and attention to detail * Experience with reporting, analytics, and process improvement

Hitachi, Ltd.

Electrical Test Engineer

Bland, VA · On-site

Analyze test data, document results, and prepare detailed reports * Investigate test failures and perform root cause analysis * Ensure compliance with regulatory, quality, and safety standards (IEC ...

Hitachi

Electrical Test Engineer

Bland, VA · On-site

Analyze test data, document results, and prepare detailed reports * Investigate test failures and perform root cause analysis * Ensure compliance with regulatory, quality, and safety standards (IEC ...

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All JobsData Analytics JobsData Analytics Jobs in Princeton, WV

Data Analytics information

See Princeton, WV salary details

$23

$52

$91

How much do data analytics jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for data analytics in Princeton, WV is $52.96, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $60.00 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 Princeton, WV look for?

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Princeton, WV as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $110,157 per year, or $53 per hour.

Driver / Data Collector in Princeton, WV

TSMG

Princeton, WV • On-site

Full-time

Re-posted 15 days ago

Job description

Company description
 
Service Measure (SM) is a field data collection company founded in 2013 in New York. 
 
We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
 
Project objective
 
The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.
 
The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. 
 
The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.
 
The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.
Requirements:
  • Must have a valid Driver Licence;
  • Good driving skills and clean driving record;
  • General car knowledge would be a plus;
  • Enjoys driving, within standard business hours;
  • Available for a minimum of 3 months;
  • Must have private monitored parking space for corporate vehicle;
  • Great communication and reporting skills;
  • Tech savvy (drivers will use Gmail, Google Forms and Google Meet);
  • High level of responsibility;
  • Self-motivated and detail oriented; 
  • Must be able to successfully pass a background check (criminal and driving record).
 
We would be happy to get to know you and your skills better and see how we can support each other's growth.
 
Please apply and let's meet!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.