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Statistical Analyst Jobs in Nevada (NOW HIRING)

Business Analyst

Las Vegas, NV · On-site

$73K - $91K/yr

Integrate and leverage R Studio capabilities within Power BI for advanced statistical analysis, custom visuals, and complex data transformations. * Write efficient, optimized SQL queries to extract ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Director of Biostatistics

Reno, NV · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Business Analyst III Job Location: Las Vegas, Nevada Job Number: AMZ9898510 Position ... Design and implement sophisticated mathematical and statistical models incorporating diverse ...

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Statistical Analyst information

See Nevada salary details

$30.5K

$71.7K

$119.7K

How much do statistical analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for statistical analyst in Nevada is $71,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $82,500.00 per year, depending on experience, location, and employer.

What does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a statistical analyst, and why are they important?

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.
What are the most commonly searched types of Statistical Analyst jobs in Nevada? The most popular types of Statistical Analyst jobs in Nevada are:
What cities in Nevada are hiring for Statistical Analyst jobs? Cities in Nevada with the most Statistical Analyst job openings:
What are popular job titles related to Statistical Analyst jobs in NV? For Statistical Analyst jobs in NV, the most frequently searched job titles are:
Infographic showing various Statistical Analyst job openings in Nevada as of July 2026, with employment types broken down into 84% Full Time, 9% Part Time, 1% Temporary, and 6% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $71,740 per year, or $34.5 per hour.

Full-time

Posted 20 days ago


Resorts World Las Vegas rating

6.7

Company rating: 6.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

93rd of 163 rated casinos


Job description

Summary Statement:
The Revenue Strategy Analyst applies statistical, analytical, and business research methods to identify opportunities, evaluate performance, and support commercial decision-making across Resorts World Las Vegas. Develops analytical frameworks, conducts experimentation, builds predictive and explanatory models, and translates complex findings into actionable recommendations. Partners with cross-functional teams, including Pricing, Sales, Marketing, Operations, IT, and Finance, to deliver insights that drive revenue growth and operational performance across business verticals such as Hotel, Food & Beverage, Pool, Spa, and Gaming. Proactively identifies opportunities for improvement, tests hypotheses, and implements data-driven solutions while staying current on advancements in Revenue Management, Analytics, and Data Science.
The Revenue Strategy Analyst is encouraged to think of Resorts World Las Vegas as both field and lab. That is, the Analyst acts as a researcher, i.e. walking the property, finding opportunities to improve property performance, developing hypotheses, testing hypotheses, recommending actions, and implementing actions as appropriate.

PrimaryJob Duties- Inclusive of and not limited to:

  • Understand business problems by observing performance, listening to stakeholders, and learning from subject-matter experts.
  • Develop predictive and explanatory models to identify drivers of business performance and forecast future outcomes.
  • Design, execute, monitor, and evaluate experiments and pilot programs intended to improve revenue, profitability, operational efficiency, guest experience, team-member experience, or strategic decision-making.
  • Assess data sources (internal and external) to integrate and centralize information.
  • Analyze and model structured data using appropriate tools and resources, e.g. machine learning methods, and quantitative and qualitative techniques.
  • Determine what is critical and what is extraneous to solving business problems.
  • Understand the data requirements for investigating issues.
  • Evaluate data sets to determine their quality and sufficiency.
  • Manipulate data in service of applying various and appropriate statistical techniques.
  • Convert analyses into actionable recommendations for analytical and non-analytical business partners and executives.
  • Communicate effectively with audiences varying from line-level professionals to senior leadership, both verbally and in writing.
  • Use personal device/ cellular phone for job-related operational tasks, job tasks, review of company documents, et cetera.
  • Perform other job-related duties as requested.

Qualifications- Inclusive of and not limited to:

  • Demonstrated intellectual curiosity and a willingness to challenge assumptions through data, observation, and experimentation.
  • Experience in turning complex and/or incomplete data into actionable recommendations.
  • Proficiency in Microsoft Office (Word, Excel, Power Point), and Power BI and/or Tableau.
  • Strong SQL skills, including the ability to query, transform, and combine large datasets.
  • Experience using Python, R, or similar tools for statistical analysis, experimentation, and predictive modeling.
  • Solid foundation in Statistics and Analytics, including hypothesis testing, experimentation, regression modeling, forecasting, causal inference, predictive modeling, statistical significance, confidence intervals, model validation, and interpretation of analytical results.
  • Demonstrated interest in pricing strategy, revenue optimization, or commercial decision-making processes.
  • Ability to work on multiple projects with varying priorities and deadlines across multiple teams.
  • Ability to communicate clearly, effectively and efficiently with audiences of varying analytical knowledge.
  • Ability to analyze financial statements, revenue reports, and market data.
  • Ability to obtain and maintain full knowledge and understanding of company and department. rules, regulations, policies, and procedures
  • Ability to work weekends if required.

Preferred:

  • Experience in applying analytical methods to business problems in Hospitality, Gaming, Airlines, Cruise, Retail, Finance, Technology, Consulting, or related industries.
  • Bachelor's degree with coursework in Economics, Data Science, Mathematics, Statistics, Computer. Science, Finance, Hotel Administration, a related quantitative field, or an applicable field.
  • Understanding hotel metrics, casino play, theoretical value, expected value, and reinvestment.
  • Working knowledge of Opera, Delphi, and Hilton systems.

Minimum Education and Experience:

  • At least 21 years of age.
  • High School Diploma or equivalent.

Certificates, Licenses, Regulations:

  • Proof of eligibility to work in the United States.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

  • Work is typically performed in an office.
  • Ability to sit for prolonged periods working at a desk on a computer.
  • Must be tolerant of varying conditions of noise level, temperature, illumination, and air quality.
  • Some bending and reaching.
  • Transporting, pushing, pulling, lifting, and maneuvering items weighing up to 15 lbs.
  • Ability to comply with Policies and Procedures, Job Description, daily memorandums, chemical labels (SDS) and other instructions.

At Resorts World Las Vegas, we believe that every member of our team is an ambassador and is essential to the success of our company. We expect all Team Members to take personal ownership in ensuring everything they do is in the best interest of the company and that all will adhere to our five core non-negotiable responsibilities.


  • Everyone is an Ambassador-No matter where you work at Resorts World Las Vegas, it is your responsibility to treat this property like you would your own home. No one gets hurt, everyone feels secure, the environment is clean, and every guest gets what they need.
  • Everyone works in Safety-If you have a safety concern, it is your responsibility to address it by correcting it or notifying the appropriate department or individual.
  • Everyone works in Security-If you See Something, it is your responsibility to Say Something. You must notify the appropriate department or individual if you feel there is a security concern.
  • Everyone works in EVS-If there is trash on the floor, it is your responsibility to pick it up. If it is a mess that needs more attention, it is your responsibility to notify the appropriate department or individual.
  • Everyone works in Guest Experience-If a guest needs assistance, it is your responsibility to assist that guest and do so with a smile. If the guest needs more assistance than you can provide, it is your responsibility to notify the appropriate department or individual.

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