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Statistical Analyst Jobs in Reno, NV (NOW HIRING)

Amperesand

Senior Quality Engineer

Reno, NV · On-site

$88K - $119K/yr

Conduct process capability analyses to assess supplier and production process performance against specifications and quality standards * Design and execute experiments using DOE and other statistical ...

chromalloy

Senior Quality Engineer (Aerospace)

Carson City, NV · On-site

$86K - $117K/yr

Develop, track, and provide statistical analysis, reports, and metrics for quality related activities. Responsibilities: * Interpret engineering drawings and customer specifications and confer with ...

chromalloy

Senior Quality Engineer (Aerospace)

Carson City, NV · On-site

$86K - $117K/yr

Develop, track, and provide statistical analysis, reports, and metrics for quality related activities. Responsibilities: * Interpret engineering drawings and customer specifications and confer with ...

Varsity Tutors

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 ...

Varsity Tutors

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 ...

Amperesand

Senior Quality Engineer

Reno, NV · On-site

$88K - $119K/yr

Strong background in statistical analysis and data driven decision making * Experience with Minitab, JMP, or similar statistical software preferred * Experience with data mining and database tools ...

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All JobsStatistical Analyst JobsStatistical Analyst Jobs in Reno, NV

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 21, 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.
More about Statistical Analyst jobs
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:
Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in Reno, NV as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 85% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $70,244 per year, or $33.8 per hour.

Senior Quality Engineer

Amperesand

Reno, NV • On-site

$88K - $119K/yr

Other

Posted 8 days ago

Job description

Role Summary

We are looking for an experienced Senior Quality Engineer to support solid state transformer production. In this role, you will be responsible for designing and implementing the Quality Management System to enable high quality products and commercialization. You will partner with design, supply chain and manufacturing to develop Amperesand's quality processes, you will lead regulatory and customer audits to qualify Amperesand as a preferred supplier. 

This Senior Quality Engineer is a professional problem solver, that can make good use of quality techniques to solve quality challenges and develop reliable processes that prevent creation of defects. The Sr. Quality Engineer will work on high quality products that meet the high reliability standards in the electrical grid equipment business. 

Responsibilities

  • Build and maintain strong cross functional relationships with internal teams and external partners through effective communication and collaboration
  • Develop manufacturing requirements, quality standards, and product quality plans to ensure products meet customer expectations
  • Deploy and validate manufacturing requirements across subsystems, assemblies, and components to align design and production with customer needs
  • Identify critical requirements and ensure suppliers and production teams maintain focus on key quality and performance needs
  • Lead Design and Process FMEA development activities to identify and mitigate critical risks
  • Support the development of manufacturing equipment, controls, and test plans based on FMEA findings and customer feedback
  • Assist engineering teams with statistical analysis and other methodologies to evaluate the impact of part and process variability on system performance
  • Conduct process capability analyses to assess supplier and production process performance against specifications and quality standards
  • Design and execute experiments using DOE and other statistical methods to support issue investigation, characterization, and optimization efforts
  • Manage and facilitate root cause and corrective action activities, including issue tracking, validation, brainstorming sessions, lean methodologies, hypothesis testing, and design of experiments

Qualifications

  • Bachelor's or master's degree in electrical, mechanical, materials, or industrial engineering, or equivalent practical experience
  • ASQ Certified Quality Engineer or Six Sigma certification preferred
  • 5+ years of quality engineering experience, preferably within electrical assemblies, grid equipment, energy storage, automotive, or power electronics industries
  • Demonstrated experience applying design for quality and problem solving methodologies including FMEA, process capability analysis, hypothesis testing, DOE, and SPC
  • Strong background in statistical analysis and data driven decision making
  • Experience with Minitab, JMP, or similar statistical software preferred
  • Experience with data mining and database tools such as MySQL
  • Excellent written, verbal, and presentation communication skills

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.Travel up to 15% of the time to suppliers and customers in the USA and overseas. 

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