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Statistical Programmer Jobs in Arkansas (NOW HIRING)

Suzano

Quality Engineer

Pine Bluff, AR · On-site

$65K - $84K/yr

S. and is seeking an experienced Quality Engineer to join our team at the paper manufacturing ... The ideal candidate will have strong expertise in problem-solving analysis tools, statistical ...

Suzano

Quality Engineer

Pine Bluff, AR · On-site

$70 - $100/hr

S. and is seeking an experienced Quality Engineer to join our team at the paper manufacturing ... The ideal candidate will have strong expertise in problem-solving analysis tools, statistical ...

Suzano

Quality Engineer

Pine Bluff, AR

$65K - $84K/yr

S. and is seeking an experienced Quality Engineer to join our team at the paper manufacturing ... The ideal candidate will have strong expertise in problem-solving analysis tools, statistical ...

Sanhua

Quality Engineer

Springdale, AR · On-site

$63K - $82K/yr

Lead the implementation and analysis of Statistical Process Control (SPC) to monitor process ... Qualifications BS in Mechanical Engineering, Industrial Engineering or a related field Minimum of 3 ...

Jobtailor

Principal Data Analyst

Bentonville, AR · On-site

$90 - $140/hr

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics ...

Synerfac Technical Staffing

Industrial Engineer

Camden, AR · On-site

$59K - $80K/yr

... and analyze statistical data to identify trends for process improvement and cost reduction ... Industrial Engineer Job Requirements: - 3+ years of experience in manufacturing, industrial ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Arkansas

Statistical Programmer information

See Arkansas salary details

$69.9K

$121.8K

$205.9K

How much do statistical programmer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for statistical programmer in Arkansas is $121,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $132,300.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

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

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs

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For Statistical Programmer jobs in Arkansas, the most frequently searched job titles are:

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The top searched job categories for Statistical Programmer jobs in Arkansas are:

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Cities in Arkansas with the most Statistical Programmer job openings:

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Arkansas as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 72% In-person, 2% Hybrid, and 26% Remote job distribution, with an average salary of $121,796 per year, or $58.6 per hour.

Senior Manager, Advanced Analytics - Credit Strategy & Analytics

Jobtailor

Bentonville, AR • On-site

$90 - $140/hr

Other

Posted 11 days ago

Job description

  • Develop and execute credit risk strategies, decisioning frameworks, and policies that enable the sustainable growth of Marketplace Seller Services while minimizing credit losses.
  • Partner cross-functionally with Product, Data Science, Seller Services, Finance, Billing, and Engineering to design, implement, and optimize scalable credit risk controls.
  • Lead complex, end-to-end initiatives to develop credit limits, prepay strategies, reserves, service-level controls, and early warning capabilities.
  • Leverage internal data, predictive models, and external risk signals to assess emerging risks, improve decision quality, and drive data-informed recommendations.
  • Monitor portfolio performance, evaluate strategy effectiveness, and continuously refine credit risk decisioning to balance seller growth with responsible risk management.
Requirements
  • Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years' experience in data analytics or related field OR 6 years' experience in data analytics or related field.
  • Certificate in business analytics, data mining, or statistical analysis (preferred).
  • Statistical programming languages (for example, SAS, R) (preferred).
Core Competencies

Demonstrates expertise in developing and executing credit risk strategies and decisioning frameworks while leveraging data analytics to drive informed recommendations. Proficient in collaborating cross-functionally to optimize credit risk controls and monitor portfolio performance.

Highest-signal resume keywords
  • Credit Risk Strategy Development
  • Data Analytics Experience
  • Statistical Programming (SAS, R)
  • Cross-Functional Collaboration
  • Portfolio Performance Monitoring
ATS Optimization KeywordsHard Skills
  • Credit Risk Management
  • Data Analysis
  • Predictive Modeling
  • Decisioning Frameworks
  • Statistical Analysis
Soft Skills
  • Collaboration
  • Leadership
  • Communication
Certifications & Qualifications
  • Business Analytics Certificate
  • Data Mining Certificate
  • Statistical Analysis Certificate
Industry Keywords
  • Marketplace Seller Services
  • Credit Loss Minimization
  • Risk Management
  • Service-Level Controls
  • Early Warning Capabilities
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