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Data Analytics Jobs in Ranson, WV (NOW HIRING)

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

Implement data transformation logic to support analytics, reporting, and regulatory use cases. * Ensure data pipelines are reliable, performant, and scalable in cloud environments. * Leverage AI ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

Implement data transformation logic to support analytics, reporting, and regulatory use cases. * Ensure data pipelines are reliable, performant, and scalable in cloud environments. * Leverage AI ...

Anika Systems

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

Develop and manage ontologies and semantic models to enable interoperability, data discovery, and advanced analytics. * Integrate AI/ML and generative AI capabilities into enterprise data ecosystems ...

Anika Systems

Data Architect

Leesburg, VA · Remote

$65.25 - $84/hr

Develop and manage ontologies and semantic models to enable interoperability, data discovery, and advanced analytics. * Integrate AI/ML and generative AI capabilities into enterprise data ecosystems ...

Varsity Tutors

Data Science Tutor

Leesburg, VA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Commence

Sr Health Interoperability Engineer

Leesburg, VA · On-site

$68 - $91/hr

Collaborate with the analytics and data science team to ensure OMOP-structured data is properly exposed for cohort definition, quality measurement, and ML feature engineering. Platform ...

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All JobsData Analytics JobsData Analytics Jobs in Ranson, WV

Data Analytics information

See Ranson, WV salary details

$23

$52

$89

How much do data analytics jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data analytics in Ranson, WV is $52.07, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.99 per hour, depending on experience, location, and employer.

What job do you get with data analytics?

A career in data analytics can lead to roles such as Data Analyst, Business Analyst, Data Scientist, or Data Engineer. These positions involve analyzing data to support decision-making, often requiring skills in statistical tools, programming languages like Python or R, and data visualization software. Certifications like Certified Analytics Professional (CAP) can enhance job prospects.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst evolves with technology, requiring skills in programming, statistical analysis, and understanding AI capabilities, rather than being fully replaced by AI.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the job of data analytics?

The job of data analytics involves examining large datasets to identify patterns, trends, and insights that support decision-making. Data analysts use tools like Excel, SQL, and visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and knowledge of statistical methods are essential for this role.

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.

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.

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 cities near Ranson, WV are hiring for Data Analytics jobs? Cities near Ranson, WV with the most Data Analytics job openings:
Data Analytics jobs near you
Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Hagerstown, MD • Remote

$50 - $60/hr

Other

Posted 4 days ago

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.


We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.


We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.


To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.


Benefits:

  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work


Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance


Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Masters and/or PhD is is preferred but not required


Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

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