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

Digital Analyst Internships

Henderson, NV · On-site

$89K - $105K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Las Vegas, NV · On-site

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Technical Systems Analyst

Las Vegas, NV · On-site

$35.56/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Distinguishing Characteristics This is the entry level class in the Technical Systems Analyst ... programmer. * Makes modifications to program configurations as required. * Prepares test data for ...

Board Certified Behavioral Analyst

Las Vegas, NV · On-site

$60 - $70/hr

  • Medical

  • Retirement

... * Entry-level experience in behavioral analysis * Knowledge of Applied Behavior Analysis and Functional Behavior Assessment * Experience with data collection and analysis * Strong report writing and ...

Showing results 21-40

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 Aug 18, 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.

Senior Analyst, Gaming Analytics - Corporate (Las Vegas)

Ceasars Entertainment

Las Vegas, NV • On-site

$84K - $111K/yr

Full-time

Posted 12 days ago


Caesars Entertainment rating

6.4

Company rating: 6.4 out of 10

Based on 255 frontline employees who took The Breakroom Quiz

107th of 164 rated casinos


Job description

The Senior Analyst role supports the Caesars Entertainment 'Enterprise Analytics' department mission of providing world class analytical support, delivering insights that drive profit, and being a reliable business partner for Gaming operations. The role leverages data to identify trends, measure business performance, and provide actionable insights that support operational decision-making across the gaming business.

At Caesars Entertainment, Inc., our Team Members create the extraordinary. We are the largest casino-entertainment company in the U.S. and one of the world's most diversified casino-entertainment providers. Since beginning in Reno, Nevada, in 1937, Caesars Entertainment has grown through the development of new resorts, expansions and acquisitions. Our resorts operate primarily under the Caesars, Harrah's, Horseshoe and Eldorado brand names. We focus on building loyalty and value with our guests through a combination of impeccable service, operational excellence and technological leadership. The company is committed to its Team Members, suppliers, communities and the environment through its PEOPLE PLANET PLAY framework.  
Our Caesars family is driven by our Mission, Vision and Values. We take great pride in living these values - Together We Win, All In On Service and Blaze the Trail - every day. Our mission, "Create the Extraordinary". Our vision, "Create spectacular worlds. That immerse, inspire and connect you. We don't perform magic; we create it with excellence. #WeAreCaesars".  If you are ready to create some magic, we invite you to explore our dynamic, yet unique, career opportunities.
  • Bachelor's degree from an accredited four-year college
  • 2+years of professional work (or equivalent experience)
  • Demonstrated business acumen for the casino industry; can articulate the fundamental drivers of business performance
  • Advanced skills in querying, analyzing, and visualizing large data sets. Proficiency in SQL and ideally one or more of the following programming languages: R, VBA, SAS, Python, and experience in working with Google BigQuery. Experienced in Microsoft Excel and PowerPoint

ADDITIONAL REQUIREMENTS

  • Strength in critical thinking, problem solving, and written and verbal communication. Comfort in articulating complex information and analyses to a variety of audiences
  • Intellectual curiosity and willingness to quickly learn relevant database applications and software
  • Ability to effectively interact with and influence key stakeholders, manage multiple projects simultaneously, and meet deadlines while consistently delivering accurate and high-quality work
  • Demonstrated ability to work effectively in a team-oriented environment
  • Ability to uphold and demonstrate the highest level of integrity
  • Interact with Senior leaders in the organization to develop and refine requests for analyses. Identify potential business opportunities and pursue them through analytics and creative solutions in consultation with team leadership
  • Conduct objective, rigorous analytics to help the business improve profitability, operational processes, and customer service with minimal guidance from management - e.g., identification and evaluation of revenue growth opportunities, resource optimization, optimal investment mix, competitive market dynamics, customer behavior, and pricing optimization
  • Distill vast datasets into actionable insights and recommendations that guide decisions and strategies. Develop presentation materials that synthesize analyses into a format ready for senior management consumption and assume a substantial role in communicating analysis findings clearly, concisely and compellingly to senior management, in both verbal and written formats. Assist Analyst I &II team members in structuring and executing their analytics and in developing presentation materials
  • Participate actively in discussions with senior clients, and assist in driving the development, implementation and evaluation of strategic projects
  • Develop and support reporting for operating departments to provide senior leaders visibility into trends and business performance drivers
  • Use technology (e.g., SQL, R, Tableau, Google BigQuery, Python) to develop analytics and reporting tools; take an active role in integrating new technologies and tools into the department's processes. Experienced in working in both Microsoft Excel and PowerPoint
  • Propose and implement improvements that drive material efficiencies in processes and reporting
  • Lead projects that require input from other Analytics team members; contribute to cross-Analytics team projects
  • Help to train, on-board, and develop junior analysts in technical skills, tools & processes

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