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Sas Programming Jobs in Utah (NOW HIRING)

Synchrony Financial

VP, Amazon Analytics

Draper, UT

... SAS, SQL, Python and/or R * 3+ years leading large-scale analytics projects * 1+ year in a client ... Degree in a quantitative field (e.g., Statistics, Engineering, Economics, Mathematics) preferred ...

UnitedHealth Group

Credit Risk Analyst

Draper, UT · On-site

... Engineering or related field * 2 years of consumer credit risk management or underwriting experience * 2 years of experience with SQL, Python, R, or SAS Preferred Qualifications: * Credit risk ...

Synchrony

VP, Amazon Analytics

Draper, UT · On-site

... SAS, SQL, Python and/or R * 3+ years leading large-scale analytics projects * 1+ year in a client ... Degree in a quantitative field (e.g., Statistics, Engineering, Economics, Mathematics) preferred ...

UnitedHealth Group

Credit Risk Analyst

Draper, UT · On-site

... Engineering or related field * 2+ years of consumer credit risk management or underwriting experience * 2+ years of experience with SQL, Python, R, or SAS Preferred Qualifications: * Credit risk ...

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Sas Programming information

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$13

$44

$72

How much do sas programming jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for sas programming in Utah is $44.61, according to ZipRecruiter salary data. Most workers in this role earn between $31.30 and $56.01 per hour, depending on experience, location, and employer.

Is SAS programming in demand?

SAS programming is in demand in industries such as healthcare, finance, and pharmaceuticals, where data analysis and reporting are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find good job opportunities, especially in organizations that rely on SAS software for their analytics needs.

What are some common challenges faced by SAS Programmers in a collaborative team environment?

SAS Programmers often work alongside statisticians, data managers, and clinical research associates, which requires effective communication and collaboration. A common challenge is ensuring consistent data standards and understanding project requirements across diverse teams, especially when managing large or complex datasets. Additionally, SAS Programmers may need to adapt quickly to evolving regulatory guidelines and client specifications, which can impact timelines and workflow. Being proactive in clarifying expectations and maintaining thorough documentation helps address these challenges and ensures smooth project execution.

What is SAS programming?

SAS programming refers to the use of the SAS (Statistical Analysis System) software suite for data management, advanced analytics, business intelligence, and statistical analysis. SAS programmers write code in the SAS language to import, clean, manipulate, and analyze data, often creating reports and visualizations based on their findings. This skill is widely used in industries such as healthcare, finance, and research, where large datasets must be processed and interpreted efficiently.

What are the career opportunities in SAS programming?

SAS programming offers career opportunities in industries such as healthcare, finance, pharmaceuticals, and government, where data analysis and reporting are essential. Roles include SAS Analyst, Data Scientist, Statistical Programmer, and Data Manager, often requiring knowledge of SAS software, statistical methods, and data management skills. Advancement can lead to senior analyst, project lead, or data management positions, with certifications like SAS Certified Data Scientist enhancing prospects.

How hard is it to get a job at SAS?

Securing a SAS programming job typically requires strong skills in SAS software, data analysis, and programming, along with relevant education or experience. Competition can vary based on location and experience level, but building a solid portfolio and obtaining certifications like SAS Certified Data Scientist can improve chances. Entry-level roles may be accessible with relevant training, while advanced positions often demand more experience.

Is SAS a good career choice?

SAS programming is a viable career option for those interested in data analysis, statistical modeling, and data management. It is widely used in industries such as healthcare, finance, and government, often requiring knowledge of SAS software, programming skills, and certifications. Job prospects are strong for professionals with expertise in SAS and related data tools.

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

To thrive as a SAS Programmer, you need expertise in SAS programming language, data analysis, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with SAS software, SQL, and statistical analysis tools, as well as certifications like SAS Certified Specialist, are typically required. Strong attention to detail, problem-solving skills, and effective communication help you interpret data and collaborate with stakeholders. These skills are crucial for delivering accurate data analysis, supporting business decisions, and ensuring data integrity in complex projects.

What is the difference between Sas Programming vs Data Analyst?

AspectSas ProgrammingData Analyst
Required SkillsProficiency in SAS, data manipulation, statistical analysisData visualization, SQL, basic statistical knowledge
Work EnvironmentHealthcare, finance, pharmaceutical industriesBusiness, marketing, finance sectors
CertificationsSAS certifications often preferredGenerally not required, but certifications like CAP or Microsoft Excel certifications helpful

While Sas Programmers focus on developing and maintaining SAS-based data solutions primarily in regulated industries, Data Analysts interpret data using various tools including SQL and Excel. Sas Programming requires specialized SAS skills and certifications, whereas Data Analysts often have broader analytical skills. Both roles are essential for data-driven decision-making but differ in technical focus and industry application.

How much do SAS Programmers make?

SAS Programmers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in data analysis and statistical modeling can command higher salaries, especially in healthcare, finance, and technology sectors.
What are popular job titles related to Sas Programming jobs in Utah? For Sas Programming jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Sas Programming jobs in Utah look for? The top searched job categories for Sas Programming jobs in Utah are:
Sas Programming jobs near you
Infographic showing various Sas Programming job openings in Utah as of July 2026, with employment types broken down into 1% Internship, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $92,793 per year, or $44.6 per hour.
Director of Model Validation

Director of Model Validation

First Electronic Bank

Salt Lake City, UT • On-site

$16.75 - $23/hr

Full-time

Re-posted 16 days ago

Job description

Job Type
Full-time
Description
At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB's engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions.
We're looking for a Director of Model Validation to lead the Model Risk Management (MRM) function and ensure the integrity and performance of the models that power our lending products with our Strategic Partners. In this role, you'll lead the department and set the directive for the Bank to oversee the validation of models and strategies used to underwrite products like small business loans, credit cards, and personal unsecured installment loans and lines of credit.
Reporting to the Head of Credit Risk and Portfolio Analytics, you'll set the strategic direction for model governance and validation across our FinTech partnerships-covering products like small business loans, credit cards, and personal installment loans.
This is a high-impact leadership role where you'll shape policy, manage a talented team, and collaborate with internal and external stakeholders to ensure regulatory compliance and model excellence.
What You'll Do:
  • Own and manage the Bank Strategic Partner Model Risk Management function, including Model Governance policies and procedures.
  • Continuously enhance processes and controls to ensure compliance with regulatory requirements.
  • Mentor, develop and lead a team of Model Validation Analysts and Managers responsible for validation credit risk, fraud detection, and behavioral credit models across our Fintech partnerships.
  • Oversee and maintain the internal model inventory for the Strategic Partner products.
  • Lead and improve loan portfolio performance monitoring processes using data feeds and visualization tools such as PowerBI.
  • Collaborate with external data science and modeling teams, providing guidance on model development and ensuring thorough documentation and adherence to Model Risk Management standards.
  • Partner with Compliance to define and strengthen standards that ensure fair lending practices and regulatory compliance.
  • Support due diligence efforts by assigning model validation subject matter experts to the process.
  • Serve as primary point of contact during regulatory exams (FDIC, UDFI) for model risk management activities.
  • Work with external vendors and legal counsel to validate modeling techniques and align with industry best practices.
  • Participate in Bank Committees and Advisory Groups to provide strategic input on model risk initiatives.

Requirements
What We're Looking For:
  • Advanced degree in a quantitative field or equivalent practical experience in data science, statistical modeling, or quantitative analysis.
  • 5+ years of experience in regulated banking or financial services industry.
  • 3+ years of direct people management experience in a quantitative discipline.
  • Strong knowledge of regulatory requirements for model risk management (SR 11-7).
  • Experience participating in, or leading, supervised regulatory exams.
  • Proven experience developing and validating statistical and machine learning models for credit risk.
  • Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences.
  • Experience presenting to executive leadership and supporting strategic committees.
  • Adaptable, collaborative mindset-ready to thrive in a fast-paced growing organization.
  • Proficiency in programming languages such as Python, R, SAS, or SQL a plus.

Apply