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Statistics Validator Jobs in Wisconsin (NOW HIRING)

Validation Engineer

Hartland, WI

$73K - $110K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Validate new and revalidate as appropriate existing equipment used in OTC/Cosmetic and medical ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

Validation Engineer

Hartland, WI

$73K - $110K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Validate new and revalidate as appropriate existing equipment used in OTC/Cosmetic and medical ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

Energy Policy Statistical Analyst

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design survey samples and perform post-survey analysis of results to provide statistically valid ... Conduct other ad-hoc regression, statistics, algebraic, and numerical calculation tasks to aid in ...

Validation Engineer

Hartland, WI · On-site

$73K - $110K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Validate new and revalidate as appropriate existing equipment used in OTC/Cosmetic and medical ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

Validation Engineer

Hartland, WI · On-site

$73K - $110K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Validate new and revalidate as appropriate existing equipment used in OTC/Cosmetic and medical ... Experience with Minitab statistical analysis software. Experience with root cause analysis. Medline ...

Validation Engineer

Hartland, WI · On-site

$73K - $110K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Validate new and revalidate as appropriate existing equipment used in OTC/Cosmetic and medical ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

Director of Biostatistics

Madison, WI · Remote

$60 - $65/hr

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Director of Biostatistics

Kenosha, WI · Remote

$60 - $65/hr

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Senior Validation Quality Engineer

Sturtevant, WI · On-site

$85K - $116K/yr

Experience with Statistical Analysis of Data. Experience with statistical sampling requirements for Process Validation. Familiar with ISO 13485 Quality System Standards, FDA Quality System ...

Senior Validation Quality Engineer

Sturtevant, WI · On-site

$85K - $116K/yr

Experience with Statistical Analysis of Data. Experience with statistical sampling requirements for Process Validation. Familiar with ISO 13485 Quality System Standards, FDA Quality System ...

Machine Learning Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

Machine Learning Tutor

Madison, WI · Remote

$18 - $40/hr

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

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Showing results 1-20

Statistics Validator information

What is a statistics validator?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a statistics validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

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

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

How do you become a statistics validator?

To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining experience through internships or entry-level roles in data validation or quality assurance can also be beneficial. Certifications such as the Certified Data Management Professional (CDMP) or relevant training can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in steady demand across industries that rely on data accuracy, such as finance, healthcare, and research organizations. These positions often require strong analytical skills and familiarity with statistical software, with demand driven by the increasing importance of data integrity and quality assurance.

What are popular job titles related to Statistics Validator jobs in Wisconsin?

For Statistics Validator jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Statistics Validator jobs in Wisconsin look for?

The top searched job categories for Statistics Validator jobs in Wisconsin are:

Infographic showing various Statistics Validator job openings in Wisconsin as of August 2026, with employment types broken down into 72% Full Time, 13% Part Time, 4% Temporary, and 11% Contract. Highlights an 100% In-person job distribution.

Energy Policy Statistical Analyst

Det Norske Veritas

Madison, WI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Are you ready to use your problem-solving and analytics skills to help key energy stakeholders develop an actionable path to a safe, reliable, equitable, and carbon-free electric grid?

Are you passionate about learning from the experts in the industry while applying your unique, experimental, and innovative ideas to develop the industry's next generation of inspiring solutions?

DNV - Energy Systems' Analytics and Digitalization group is seeking an Energy Policy Statistical Analyst to join our team. Join our team as we conduct research to understand the impacts and optimize the strategies of utility-scale energy efficiency, demand response, and distributed energy resource programs. This role will involve strategic problem solving by synthesizing your skills in analytics, statistics, programming, data visualization, and awareness of industry-relevant topics, to develop on-point analyses, reports, and presentations.

This position is based out of our Madison, WI office, although it is possible that it can be filled out of the following DNV offices: Portland, OR, Portland, ME, North Andover, MA, Medford, MA, Oakland, CA, or New York, NY, presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either a DNV office or client location/site. Further details regarding role-specific requirements will be shared during the interview process.

What You'll Do

This role will include a mixture of analytics, task management, and communication responsibilities. Below we include a list of a wide range of typical job expectations for this position, however the role can be flexible and versatile.

Analytics

  • Apply your deep curiosity to a diverse and expanding set of technical challenges that will support the transition to a decarbonized grid.
  • Clean and prepare large datasets for analysis.
  • Proactively check all work for errors.
  • Develop and implement study designs using RCT and RED methods.
  • Apply matched comparison algorithms.
  • Design survey samples and perform post-survey analysis of results to provide statistically valid insights.
  • Estimate site-level and panel energy consumption regression models using time of week and temperature, change point, or other models for thousands of customers.
  • Develop short-term  and long-term impact results across multiple population characteristics.
  • Conduct other ad-hoc regression, statistics, algebraic, and numerical calculation tasks to aid in determining impact of demand response and energy efficiency programs.
  • Follow analytical trends in the energy industry.
  • Maintain existing programmed analyses and identify potential improvements to be made.
  • Demonstrates foundational AI literacy by using approved AI tools for routine analytical and communication tasks, writing clear prompts, recognizing tool limits, staying curious and flexible as tools evolve.
  • Take ownership for the quality and reliability of AI-assisted work by reviewing outputs for accuracy, bias, and fit before using them. 

Task Management

  • Design quantitative and qualitative analyses to answer customer questions within time, scope, and budget constraints. 
  • Communicate proactively with project managers, subject matter experts, and other team members to ensure that tasks are completed within the project requirements.

Behavior and Communication

  • Contribute to reports and presentations by writing concise methods, key findings, and recommendations.
  • Communicate proactively and effectively with staff of all levels to find information, learn new skills, troubleshoot problems, and address complex issues.
  • Present and write about the technical information in a meaningful and impactful manner to a range of stakeholders and clients.
  • Develop and maintain positive relationships with colleagues and clients.
  • Self-manage to ensure quality results are delivered for each task, including ensuring the best methods are used, methods are used correctly, results are correct and logical, and tasks are performed on time.
     

What is Required

Please submit a 1-page cover letter along with your resume when applying. In your cover letter, please describe a research project in which you have participated. Briefly describe your role, research approach, results, and how you shared the results.

  • Bachelor's degree in economics, statistics, quantitative social science, or other analytical discipline. 
  • Upto 2 years of relevant professional experience, including internships, co-op assignments, or equivalent experience applying statistical skills to challenging data problems and demonstrated ability to communicate empirical work effectively to a wide range of audiences.
  • A proven grasp of one or more programming or statistics software languages such as Python, SAS, or R.
  • Econometrics, statistics, or biostatistics coursework or experience, preferably at the graduate level.
  • Strong written and verbal English communication skills.
  • We conduct pre-employment drug and background screening.

What is Preferred

  • Master's degree preferred.
  • Demonstrates foundational AI literacy by using approved AI tools for routine analytical and communication tasks, writing clear prompts, recognizing tool limits, staying curious and flexible as tools evolve

*Immigration-related employment benefits, for example visa sponsorship, are not available for this position*

 
  • Generous paid time off (vacation, sick days, company holidays, personal days)
  • Multiple Medical and Dental benefit plans to choose from, Vision benefits
  • Spending accounts - FSA, Dependent Care, Commuter Benefits, company-seeded HSA
  • Employer-paid, therapist-led, virtual care services through Talkspace
  • 401(k) with company match
  • Company provided life insurance, short-term, and long-term disability benefits
  • Education reimbursement program
  • Flexible work schedule with hybrid opportunities
  • Charitable Matched Giving and Volunteer Rewards through our Impact Program
  • Volunteer time off (VTO) paid by the company
  • Career advancement opportunities 

**Benefits vary based on position, tenure, location, and employee election**

DNV provides a reasonable range of compensation for this role. The actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific location. For the states of California, Connecticut, Illinois, Maine, Massachusetts, New Jersey, New York, Virginia and Washington only, the starting pay range for this role is $76,000 - $98,000. 

DNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with a disability. US applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodation will be addressed confidentially. 

For more information

 https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal