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Statistical Analyst Jobs in Nevada (NOW HIRING)

Familiarity with statistical methods and techniques for evaluating data significance and drawing meaningful conclusions. Capable of performing statistical analyses to support underwriting decisions ...

Familiarity with statistical methods and techniques for evaluating data significance and drawing meaningful conclusions. Capable of performing statistical analyses to support underwriting decisions ...

Guides students through designing experiments, performing multivariate analysis, constructing confidence regions, and implementing statistical models in software. Emphasizes theoretical foundations ...

SENIOR BUDGET ANALYST

Carson City, NV · On-site +1

$67K - $100K/yr

Conduct statistical analysis and prepare written justification and summary statements for budget requests.?. Allocate agency and/or program budget resources. Control and oversee budgets and determine ...

New

Experience with Statistical Analysis is preferred Skills and Abilities: * Excellent interpersonal, communication and organization skills. Self-motivated, collaborative, with the desire to learn

Ability to explain Type I and II errors, p-values, and statistical significance while preparing students for AP Statistics or college-level data analysis. * Conceptual Teaching & Problem-Solving:

Experience with statistical analysis and financial forecasting. * Ability to create data visualizations for reporting purposes. * Experience with analytics tools and SAP for data analysis. * Must be ...

Showing results 21-40

Statistical Analyst information

See Nevada salary details

$30.5K

$71.7K

$119.7K

How much do statistical analyst jobs pay per year?

As of Sep 4, 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 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.

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 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 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.

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 August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $71,740 per year, or $34.5 per hour.

PBM Senior Analyst, Underwriting

SlateRx

Las Vegas, NV • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

  • Description
    Company Bio:
    Founded by industry pioneers, SlateRx provides simple and affordable pharmacy benefit programs to employer groups, unions, public sector groups, health systems, and other payers throughout the United States. As the industry's only PBXTM, SlateRx is creating real value for plan sponsors on day one through purchasing scale and continued management via innovation and transparency. Our model is designed to improve an out-of-touch healthcare model to make pharmacy benefits simple and affordable for plan sponsors and members.
    Job Overview:
    As the Senior Analyst you will play a crucial role in supporting the Director of Underwriting with the increasing demands of financial arrangements and repricing. Your responsibilities will include conducting financial analyses, supporting RFP processes, executing repricing exercises, analyzing value propositions, and monitoring contract compliance. Collaborating closely with cross-functional teams, you will contribute to enhancing member health outcomes and driving the growth of our organization.
    Responsibilities:
    As the Senior Analyst your key responsibilities will include:
    • Assist in the completion of financial questionnaires for RFP processes.
    • Conduct repricing exercises and retrospective analyses of deal performance for clients and their advisors.
    • Analyze the value proposition for prospective clients.
    • Complete repricing and related requests as needed.
    • Conduct in-depth financial analysis to compare relative value between different deal structures.
    • Evaluate client ROI or opportunities arising from SlateRx programs.
    • Provide expert responses to complex questions from internal resources, including implementation and account teams.
    • Produce gross to net cost comparisons to guide decision-making.
    • Collaborate with the clinical team to develop therapeutic class or category-based financial scorecards for future strategic planning.
    • Address other financial inquiries originating from SlateRx administration and analytics teams.
    • Provide oversight and training to team members who have been delegated underwriting projects.
    • Understand and adjust variables in repricing data to adhere to RFP and company requirements.
    • Participate in development and implementation of initiatives, as needed, to improve processes and procedures.
    • Quantify the impact of various benefit designs on client utilization and costs.
    • Perform miscellaneous job-related duties as assigned.

    Qualifications:
    To excel in this role, you should possess the following qualifications:
    • Proficient in collecting and extracting relevant data from various sources, including pharmacy insurance claims databases. Skilled in utilizing data analysis tools and techniques to identify trends, patterns, and insights that contribute to informed decision-making.
    • Ability to assess and quantify risk factors associated with PBM contracts and pricing strategies. Proficiency in identifying potential financial risks and proposing mitigation strategies.
    • Strong aptitude for building complex financial models to simulate different scenarios, pricing structures, and underwriting outcomes. Expertise in using modeling software and spreadsheet applications for accurate financial projections.
    • In-depth understanding of the intricate details and terminology commonly found in PBM contracts. Proficient in reviewing, interpreting, and negotiating contract terms to optimize financial outcomes and minimize potential liabilities.
    • Familiarity with statistical methods and techniques for evaluating data significance and drawing meaningful conclusions. Capable of performing statistical analyses to support underwriting decisions and pricing strategies.
    • Excellent verbal and written communication skills with the ability to convey complex financial concepts and analysis results in a clear and understandable manner. Comfortable presenting findings to internal teams, clients, or stakeholders.
    • Keen attention to detail when working with financial data, contracts, and documentation. Ensures accuracy and precision in all aspects of underwriting and financial analysis.
    • Strong problem-solving abilities, capable of identifying issues, analyzing root causes, and proposing effective solutions. Adaptable in addressing challenges and making data-driven recommendations.
    • Awareness of regulatory requirements and industry standards related to PBM operations and healthcare finance. Ensures that underwriting practices align with applicable laws and regulations.
    • Effective teamwork and collaboration skills to work closely with cross-functional teams, including clinical, implementation, and account teams. Capable of integrating financial insights into broader strategic initiatives.
    • A commitment to staying updated with industry trends, emerging technologies, and best practices in PBM underwriting and financial analysis. Willingness to pursue relevant certifications or professional development opportunities.
    • 4+ years of previous experience in pharmacy benefit management/administration, with a specific functional background in data analytics and claims data.
    • Knowledge of reporting, data analytics, and problem solving using analytical tools such as Excel, SAS, SQL, Power BI, and/or other ad hoc Query Tools.

    Education:
    Bachelor's degree in finance, statistics, mathematics, economics, or equivalent work experience; master's degree a plus.
    License Requirement:
    None
    Job Benefits:
    Health, Dental, Vision, Life, 401k, Paid Time Off.
    Location:
    Remote