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Statistical Programming 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 · 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 ...

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 Programming JobsStatistical Programming Jobs in Arkansas

Statistical Programming information

See Arkansas salary details

$69.9K

$121.8K

$205.9K

How much do statistical programming jobs pay per year?

As of Aug 26, 2026, the average yearly pay for statistical programming 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 statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

What are the key skills and qualifications needed to thrive as a statistical programmer?

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in Arkansas?

The most popular types of Statistical Programming jobs in Arkansas are:

What are popular job titles related to Statistical Programming jobs in Arkansas?

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

What job categories do people searching Statistical Programming jobs in Arkansas look for?

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

Statistical Programming jobs near you
Infographic showing various Statistical Programming job openings in Arkansas as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% 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 10 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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