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Statistics Validator Jobs (NOW HIRING)

CLS Bank International

Model Validator

Manhattan, NY · On-site

MS/MA or MBA is desired. • Experience with numerical and statistical tools: e.g. SAS, MATLAB, S ... model validation and reporting. · Knowledge of regulatory guidance on model risk management and ...

Staffingine LLC

Sr. Principal Statistics

Paramus, NJ · On-site

Provide statistical and validation support for statistical analysis, analysis datasets and TFL Review study report, manuscripts and other documents related to statistics * Work on responses to health ...

Eli Lilly and Company

Director - Statistics

Boston, MA · On-site

... validated as targets for lowering low-density lipoprotein cholesterol (LDL-C), a root cause of ... The Project Statistician at the Director level provides statistical leadership in multiple ...

U.S. Department of Defense (DOD)

$63K/yr

OR COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics ... validate space systems. Broad management principles associated with directing highly skilled ...

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How much do statistics validator jobs pay per year?

As of Jul 7, 2026, the average yearly pay for statistics validator in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are Statistics Validators?

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 is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with relevant certifications and experience.

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.

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average in many regions. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher pay.

What does a statistics validator do?

A statistics validator reviews and verifies statistical data, methods, and results to ensure accuracy, consistency, and compliance with standards. They often use statistical software and have strong analytical skills to identify errors or discrepancies in datasets and reports.

What qualifications do I need for statistics?

A statistics validator typically needs a bachelor's degree in statistics, mathematics, data science, or a related field. Strong analytical skills, proficiency with statistical software like R or SAS, and attention to detail are essential for verifying data accuracy and integrity.
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What states have the most Statistics Validator jobs? States with the most job openings for Statistics Validator jobs include:
What job categories do people searching Statistics Validator jobs look for? The top searched job categories for Statistics Validator jobs are:
Statistics Validator jobs near you
Analyst, Statistical Programming II

Analyst, Statistical Programming II

BlueCross BlueShield of South Carolina

Columbia, SC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

BlueCross BlueShield of South Carolina rating

7.4

Company rating: 7.4 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

208th of 277 rated insurance

Job description

Job Summary:
BlueCross BlueShield of South Carolina is seeking an Analyst, Statistical Programming II to develop comprehensive reports and analyze data to identify patterns and trends. The role involves creating materials to illustrate analytical findings, assisting with statistical analysis, and managing databases.
Responsibilities:
• Designs, codes, maintain and executes simple to complex database programs for the extraction and presentation of data for standard and ad hoc reporting.
• Utilizes statistical programming tools to identify patterns and trends in data.
• Assists in sampling design, sample selection, and relevant projections.
• Performs statistical validations of sampling and related projections.
• Assists with the preparation of charts, illustrations, other graphics and narrative reports to explain findings.
• Assists with development of complex statistical analysis, including standard reporting, AD HOC reporting, and data mining tools.
• Provides assistance in development of project plans and system life cycle maintenance, development of change requests and test plans impacting existing databases, and in the research of new sources for data.
• Verifies data in existing databases and assists in the collection of data and management of existing databases.
• Creates supporting documentation outlining procedures within scope of responsibility.
Qualifications:
Required:
• Bachelor's in a job-related field
• 2 Years statistical programming or statistical interpretation.
• Good organizational, customer service, and analytical skills.
• Ability to use complex mathematical calculations.
• Demonstrated knowledge of mathematical or statistical concepts.
• Relevant computer programming skills.
• Required Software and Tools: Microsoft Office.
Preferred:
• Bachelor's degree-Statistics/Biostatistics, mathematics, computer science, or other job-related field.
• 2 years experience with statistical practices.
• 2 years relational database experience. (may be concurrent).
• Strong proficiency and hands on experience with SAS, Python and Tableau.
• Computer systems support knowledge.
Company:
For more than six decades, BlueCross BlueShield of South Carolina has been part of the national landscape. Our roots are firmly embedded in the state. Founded in 1946, the company is headquartered in Columbia, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About BlueCross BlueShield of South Carolina

Sourced by ZipRecruiter

BlueCross BlueShield of South Carolina, headquartered in Columbia, SC, USA, is a major stakeholder in the country's healthcare sector. The company holds the distinction of being one of the largest health insurers in South Carolina. As an independent licensee of the BlueCross BlueShield Association, it offers an extensive range of health insurance products and services, focusing not just on medical coverage, but also on dental, vision, and other supplementary health options. The company was founded in 1946 and has since established itself as a trusted leader in the health sector, committed to affordability, accessibility, and customer service. Their mission is to ensure that all South Carolinians have access to high-quality healthcare and exemplify the core values of accountability, transparency, and commitment to customer satisfaction.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Columbia, SC, US

Year founded

1946

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