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Entry Level Data Analyst R Programming Jobs in Las Vegas, NV

Additional training in Data Science, BI, Data Visualization, Analytics, Programming. * Strong knowledge of SQL, Python, R, Java, and/or CSS. * Experience with operationalizing ML models and basic ...

AI Engineer

Las Vegas, NV ยท On-site

$55K - $187K/yr

... data analysis to identify patterns and trends for informed decision-making - Collaborating with ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Predictive Analytics Developer

Las Vegas, NV ยท On-site

$80K - $100K/yr

The developer is a cross functional role that has an in-depth understanding of data science ... R, SPSS, SAP) and statistical analysis/modeling, including linear and logistic regression ...

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Entry Level Data Analyst R Programming information

See Las Vegas, NV salary details

$12

$31

$59

How much do entry level data analyst r programming jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for entry level data analyst r programming in Las Vegas, NV is $31.45, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $35.14 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in Las Vegas, NV?

The most popular types of Data Analyst R Programming jobs in Las Vegas, NV are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Las Vegas, NV?

For Entry Level Data Analyst R Programming jobs in Las Vegas, NV, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Las Vegas, NV look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Las Vegas, NV are:

Infographic showing various Entry Level Data Analyst R Programming job openings in Las Vegas, NV as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $65,411 per year, or $31.4 per hour.

Operations Research Analyst (Journeyman)

Nellis Air Force Base, NV โ€ข Remote

Joint Research and Development, LLC
51 - 200 employees

$83K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

JRAD is seeking candidates for an upcoming Operations Research Analyst (Journeyman) position supporting the U.S. Air Force Operational Test and Evaluation Center (AFOTEC), Detachment 6 (DET 6) – Fighter Test Services (FTS). This position is located at Nellis AFB, NV.

The Operations Research Analyst (Journeyman) applies advanced analytical methods, mathematical modeling, statistical analysis, and simulation techniques to support operational test and evaluation (OT&E) of fighter aircraft systems under the Air Force Operational Test and Evaluation Center (AFOTEC) Detachment 6 Fighter Test Services contract.

Performs quantitative and qualitative analyses of operational test data derived from live flight test, distributed test environments, and the Joint Simulation Environment (JSE). Develops and implements models, simulations, and analytical tools to evaluate system effectiveness, suitability, survivability, and mission performance in representative operational conditions.

Supports all phases of the OT&E lifecycle, including test planning, execution, data collection, analysis, and reporting. Provides decision-quality insights to government test leadership and contributes to formal evaluation reports and acquisition decision support.

Roles/Responsibilities:

  • Apply operations research techniques, including statistical analysis, optimization, simulation, and forecasting, to evaluate system performance in operational environments
  • Develop, execute, and validate analytical models and simulations supporting mission-level and campaign-level assessments 
  • Analyze large, complex datasets from multiple sources (e.g., flight test telemetry, simulation outputs, mission logs) to identify trends, anomalies, and performance drivers 
  • Support development of test plans, test designs, and evaluation criteria aligned with OT&E objectives 
  • Conduct trade studies, sensitivity analyses, and risk assessments to inform system performance and operational effectiveness 
  • Develop data visualization products, dashboards, and briefing materials to communicate analytical findings to technical and non-technical stakeholders 
  • Integrate data from distributed test environments and ensure consistency, traceability, and data integrity across analysis products 
  • Collaborate with multidisciplinary teams, including test engineers, systems engineers, intelligence analysts, and operational subject matter experts 
  • Prepare technical documentation, reports, and briefings in accordance with government standards and contract requirements 
  • Provide analytical support during test execution, including near-real-time data assessment and post-mission analysis 
  • Ensure compliance with applicable security, data handling, and information assurance requirements

Required Skills and Education:

  • Bachelor’s degree in Operations Research, Mathematics, Statistics, Engineering, Data Science, Computer Science, or a related quantitative discipline
  • 3 or more years of relevant professional experience in operations research, data analysis, modeling and simulation, or related analytical fields
  • Experience supporting operational test and evaluation (OT&E) activities within AFOTEC or similar test organizations
  • Familiarity with fighter aircraft systems (e.g., F-35, F-16, F-15, F-22) and air combat operations 
  • Experience with Joint Simulation Environment (JSE) or distributed test architectures 
  • Experience with data engineering, data pipelines, or cloud-based analytics platforms
  • Experience applying quantitative analysis methods to complex technical or operational problems
  • Familiarity with the following tools and technologies: programming languages – Python, R, MATLAB; data analysis tools – SQL, Excel, statistical packages; visualization tools - Tableau, Power BI or equivalent; modeling and simulation frameworks and analytical software tools 

Security Clearance:

  • Top Secret Required
  • SCI Preferred

When you work for JRAD you will never be just a number. We put people before profits!  

JRAD is committed to the health and well-being of its employees. We offer more paid time off than the average company upon hire and the following benefits are available to all full-time employees:  

  • Health Insurance  
  • Dental Insurance  
  • Vision Insurance  
  • Life & Accidental Death and Dismemberment Insurance  
  • Section 125 Flexible Spending Accounts for unreimbursed medical & dependent day care  
  • Disability Insurance  
  • 401K Plan  
  • Tuition Reimbursement  

JRAD is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

The JRAD salary range for this position is a general guideline only and not a guarantee of compensation or salary. There are many factors considered when determining the compensation provided in an offer. These factors include, but are not limited to position responsibilities, education, experience, knowledge, skills, and contract terms and conditions. 

PLEASE NOTE: Once you apply, to ensure you continue to receive important updates on your application and status, please add JRAD to your approved email list and/or check your spam and junk mail often for updates.