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Statistical Analyst Jobs in Reno, NV (NOW HIRING)

Entry-Level Data Analyst -- Start Your Career in Data With Practical Skills Data analyst roles are ... Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers ...

Data Science Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

This position is responsible for analysis and special project work related to compensation and ... Manipulation of highly detailed and confidential statistical information in an automated manner is ...

This position is responsible for analysis and special project work related to compensation and ... Manipulation of highly detailed and confidential statistical information in an automated manner is ...

Provider Compensation Analyst

Reno, NV · On-site

$39.81 - $55.73/hr

This position is responsible for analysis and special project work related to compensation and ... Manipulation of highly detailed and confidential statistical information in an automated manner is ...

Data Analysis Tutor

Reno, NV · Remote

$18 - $40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Support the Analysis Manager in applying statistical tests and segmentation techniques in media planning * Develops and maintains the brand's holistic performance dashboard and provides analysis to ...

Support the Analysis Manager in applying statistical tests and segmentation techniques in media planning * Develops and maintains the brand's holistic performance dashboard and provides analysis to ...

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please check your eligibility on HUBZone Map (sba.gov). EEO Employer: RELI Group is an Equal Employment ...

Power BI Intern

Sparks, NV · On-site

$15/hr

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please check your eligibility on HUBZone Map (sba.gov). EEO Employer: RELI Group is an Equal Employment ...

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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 Jul 22, 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.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but statistical analysts play a crucial role in interpreting complex data, developing models, and making strategic decisions. The role of a statistical analyst involves skills in statistical methods, programming, and critical thinking that are not easily replaced by AI alone.

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.

Can I be a data analyst with no experience?

Statistical Analysts often require some background in statistics, data analysis, or related fields, but entry-level positions may be available for those with strong analytical skills and proficiency in tools like Excel or SQL. Gaining relevant certifications or completing online courses can improve chances of starting a career without prior experience.

Is 40 too late for data science?

A statistical analyst or data scientist can start a career at age 40, as many professionals transition into data roles later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with experience and continuous learning.

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.

What do statistical analysts do?

Statistical analysts collect, analyze, and interpret data to help organizations make informed decisions. They use statistical software and techniques to identify trends, create reports, and support strategic planning. Strong analytical skills and knowledge of tools like Excel, R, or SAS are essential for this role.
What are popular job titles related to Statistical Analyst jobs in Reno, NV? For Statistical Analyst jobs in Reno, NV, the most frequently searched job titles are:
Infographic showing various Statistical Analyst job openings in Reno, NV as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $70,244 per year, or $33.8 per hour.
Supervisory Industry Analyst

Supervisory Industry Analyst

Defense Logistics Agency

Sparks, NV • On-site

Full-time

Posted 10 days ago


Job description

Telework Eligible

Yes

Major Duties

  • The position serves as the Chief, Market Intelligence Division (DLA Energy-BPM).
  • Responsible for the management and direction of technical advice on energy industry and economic market conditions considered in DLA Energy materiel management program operations.
  • Manages division program responsibilities of Market and Research Analysis, Strategic Petroleum Reserve (SPR), and Cost and Price market analyses studies to determine trends affecting petroleum/natural -
  • gas markets and long-range planning of the energy industry.
  • Manages comprehensive impact studies on future domestic development and foreign energy sources of fuel supply to DoD and Federal agencies.
  • Ensures analyses of production and capabilities contingency or emergency planning is current.
  • Directs and oversees coordination of subordinates acting as SPR points of contact with the Department of Energy on all SPR guidance related matters.

Qualification Summary

To qualify for a Supervisory Industrial Economist, your resume and supporting documentation must support: A. Basic Education Requirement: Degree: economics, that included at least 21 semester hours in economics and 3 semester hours in statistics, accounting, or calculus. or Combination of education and experience: courses equivalent to a major in economics, as shown in A above, plus appropriate experience or additional education. B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Directs a program segment that provides technical advice on energy industry and economic market conditions Performs research and cost/price market analyses to determine trends affecting petroleum/natural gas markets and long-range planning of the energy industry. Oversees energy market research for determining trends affecting petroleum/natural gas markets and long-range planning of the energy industry for specific products and technological developments Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.