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Statistics Validator Jobs in Iowa (NOW HIRING)

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Process Engineer

Story City, IA · On-site

$65K - $85K/yr

Data analysis and statistical evaluation. * Process mapping and workflow analysis. * Equipment specification and validation. * CAD and engineering software proficiency. * Automation and controls ...

Quality Technician

Waterloo, IA

$17.75 - $24/hr

Records test data, applying statistical quality control procedures. * Evaluates data and writes reports to validate or indicate deviations from existing standards. * Recommends modifications of ...

Quality Technician

Waterloo, IA · On-site

$17.75 - $24/hr

Records test data, applying statistical quality control procedures. * Evaluates data and writes reports to validate or indicate deviations from existing standards. * Recommends modifications of ...

$15/hr

Perform data validation and troubleshooting on existing reports. * Document processes and ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Perform data validation and troubleshooting on existing reports. * Document processes and ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Perform data validation and troubleshooting on existing reports. * Document processes and ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Showing results 41-60

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 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.

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.

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 familiarity with data validation techniques and obtaining relevant certifications, such as the Certified Data Management Professional (CDMP), can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in demand in industries such as finance, healthcare, and research, where data accuracy is critical. These jobs often require strong analytical skills and proficiency with statistical software, and demand is expected to grow as data-driven decision-making increases across sectors.

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

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

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

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

Infographic showing various Statistics Validator job openings in Iowa as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution.

DEMAND PLANNING ANALYST

Muscatine, IA • On-site

Kent Nutrition Group
Animal Food Manufacturing • 501 - 1,000 employees

Full-time

Posted 10 days ago


Job description

At KENT WORLDWIDE™, we believe great decisions start with great insights. The Demand Planning Analyst supports the Integrated Business Planning process by developing demand forecasts and delivering data-driven recommendations that guide commercial, operational, and strategic decisions. Through collaboration with stakeholders across the business, this role helps improve forecast accuracy, uncover opportunities, and support sustainable growth. Bring curiosity. Drive insight. Create impact. Join KENT WORLDWIDE™ as a Demand Planning Analyst and help transform data into decisions that move our business forward.
  • This position is designed and intended to be performed in Muscatine, Iowa.

PRIMARY DUTIES & RESPONSIBILITIES
  • Develop, maintain, and improve demand forecasts using historical sales data, customer insights, market trends, and other key demand drivers to support accurate business planning.
  • Monitor forecast performance through forecast accuracy, bias, and forecast value-add (FVA) metrics; perform root-cause analysis and implement corrective actions to improve forecasting effectiveness.
  • Analyze sales performance, customer demand, pricing, promotions, product mix, market dynamics, and external factors to identify risks, opportunities, and growth drivers.
  • Conduct scenario planning and sensitivity analyses to evaluate the potential impact of market conditions, competitive activity, and economic trends on demand forecasts and business performance.
  • Apply statistical forecasting methods, advanced analytics, and data modeling techniques to transform complex data into actionable insights that support data-driven decision-making.
  • Partner with Sales, Marketing, Finance, Supply Chain, and Operations to align demand plans with business objectives, validate assumptions, and communicate recommendations that drive results.
  • Develop and maintain Power BI dashboards, reports, KPIs, and scorecards that provide visibility into forecast performance, business trends, and planning effectiveness. Collaborate with IT and Analytics teams to enhance reporting and analytical capabilities.
  • Support budgeting, financial forecasting, and strategic planning activities by providing demand forecasts, business insights, and scenario-based recommendations that enable informed decision-making.
  • Other duties as assigned.

EDUCATION, EXPERIENCE, AND/OR QUALIFICATIONS
  • Bachelor's degree in Business, Business Analytics, Supply Chain Management, Finance, Economics, Statistics, Mathematics, Data Science, or a related field; equivalent combinations of education and experience will be considered.
  • 3+ years of experience in demand planning, forecasting, supply chain analytics, business analytics, inventory management, or a related analytical role.
  • 3+ years of experience developing and managing demand forecasts using historical sales data, statistical forecasting methods, customer insights, market trends, and other demand drivers.
  • 2+ years of experience building dashboards, reports, KPIs, and business analytics solutions using Power BI, Excel, or similar business intelligence tools.
  • Strong analytical and problem-solving skills with the ability to identify trends, perform root-cause analysis, evaluate scenarios, and translate data into actionable business recommendations.
  • Experience analyzing sales performance, customer demand, pricing, promotions, product mix, and market dynamics to support forecasting and business planning decisions.
  • Demonstrated ability to build collaborative relationships and effectively partner with Sales, Marketing, Finance, Supply Chain, Operations, and IT teams to support business objectives and informed decision-making.
  • Proficiency with analytical and planning tools such as Power BI, Excel, SQL, Python, Microsoft Fabric, SAP IBP, Kinaxis, Blue Yonder, Oracle Demantra, or similar technologies preferred. Professional certifications in analytics, forecasting, business intelligence, or supply chain planning are a plus.

TRAVEL
  • 10-15% - for meetings and possible other site visits

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.