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Statistical Analyst Jobs in Reno, NV (NOW HIRING)

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 ...

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

Statistics Tutor

Reno, NV · Remote

$18 - $40/hr

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 ...

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 ...

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 ...

AP Statistics Tutor

Reno, NV · Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two-way tables, performing regression diagnostics, and writing clear statistical conclusions. Emphasizes ...

Biostatistician

Sparks, 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 ...

Biostatistician

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 ...

Adjust and redefine the desired profile based upon sampling the play experience and on review of the statistical analysis of the game and in comparing the game to known successful titles. * Create ...

College Statistics Tutor

Reno, NV · Remote

$18 - $40/hr

Guides students through selecting appropriate statistical tests, using technology for data analysis, interpreting software output, and communicating findings. Emphasizes conceptual understanding of ...

ECONOMIST 2

Carson City, NV · On-site

$67K - $100K/yr

This position assists with the analysis of healthcare data, including medical and pharmacy claims as well as other provider financial and statistical data including data from the All Payer Claims ...

Business Statistics Tutor

Reno, NV · Remote

$18 - $40/hr

... analysis, time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for ...

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Showing results 1-20

Statistical Analyst information

See Reno, NV salary details

$29.9K

$70.2K

$117.2K

How much do statistical analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for statistical analyst in Reno, NV is $70,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $80,800.00 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 job categories do people searching Statistical Analyst jobs in Reno, NV look for? The top searched job categories for Statistical Analyst jobs in Reno, NV are:
Infographic showing various Statistical Analyst job openings in Reno, NV as of July 2026, with employment types broken down into 83% Full Time, 10% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $70,244 per year, or $33.8 per hour.

Director of Biostatistics

micro1 AI

Sparks, NV • Remote

$60 - $65/hr

Part-time

Posted 7 days ago


Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.