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Sas Programmer Jobs in Minnesota (NOW HIRING)

Nexwave

Sr. Data Scientist

Minnetonka, MN · On-site

$70/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field. * Strong Python/R/SAS and SQL skills. * Experience with machine learning, anomaly detection, pattern ...

Integrated Resources INC

Statistician

Minneapolis, MN · On-site

Strong applied statistical skills, including survival analysis and regression modeling Advanced programming skills in SAS, or another statistical analysis package Knowledgeable regarding research ...

RELX

Data Scientist

Minneapolis, MN · On-site

Responsibilities : • Build and deploy machine learning models using R, Python, SAS, and SQL. • Develop cloud-based analytic solutions and integrate them into enterprise systems. • Analyze large ...

Entegris

Senior Data Scientist

Chaska, MN · On-site

Develop analytical tools and automation platforms using Python, SAS, SQL, and cloud-native ... Data Engineering & Data Architecture * Design, develop, and maintain analytical data models, views ...

HealthPartners

Data Actuarial Analyst Senior

Bloomington, MN · On-site

$86K - $109K/yr

Modifies SQL queries and SAS programs (or other fourth generation program languages as required) to ... Ability to learn technical concepts and basic 4GL programming and basic Business Intelligence ...

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How much do sas programmer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for sas programmer in Minnesota is $48.00, according to ZipRecruiter salary data. Most workers in this role earn between $33.65 and $60.29 per hour, depending on experience, location, and employer.

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 strong analytical skills, proficiency in SAS programming languages, and typically a degree in computer science, statistics, or a related field. Familiarity with data management tools, statistical analysis software, and knowledge of clinical data standards like CDISC are often required, along with SAS Base and Advanced certifications. Attention to detail, problem-solving abilities, and effective communication skills help SAS Programmers excel in translating complex data into actionable insights. These skills ensure accurate data analysis, regulatory compliance, and effective collaboration with project teams.

What does a SAS programmer do?

As a SAS (Statistical Analysis System) programmer, you are an IT professional who focuses on data collection and analysis. SAS programmers aggregate data and manipulate it for the purpose of analyzing current projects and productivity, as well as predicting future trends and needs. They gather data from all available sources and process it using SAS in order to find the desired answers or provide needed analysis to management to help in decision making.

What are some common challenges SAS programmers face when working with large datasets, and how can they be addressed?

SAS Programmers often encounter challenges related to processing speed and memory limitations when working with very large datasets. To address these issues, it is important to use efficient coding practices such as indexing, data step optimization, and leveraging SAS procedures designed for large data handling. Collaborating closely with data management teams and IT support can also help in optimizing access to hardware resources and ensuring data integrity. Staying current with SAS updates and utilizing available documentation can further improve efficiency and problem-solving.

What is the difference between Sas Programmer vs Data Analyst?

AspectSas ProgrammerData Analyst
Required SkillsProficiency in SAS programming, data manipulation, and statistical analysisData visualization, statistical analysis, and reporting skills
Work EnvironmentOften in healthcare, finance, or pharmaceutical industriesAcross various industries including marketing, finance, and healthcare
CertificationsSAS Certified Data Scientist or Base ProgrammerNone specific, but certifications like CAP or Microsoft Data Analyst are common

While both roles involve working with data, Sas Programmers primarily focus on developing and maintaining SAS code for data analysis, whereas Data Analysts often use a broader range of tools and focus on interpreting data to inform business decisions. Sas Programmers typically work in environments requiring advanced statistical programming, while Data Analysts may handle data visualization and reporting across diverse industries.

Are SAS programmers in demand?

SAS programmers are in demand in industries such as healthcare, finance, and pharmaceuticals that rely on data analysis and reporting. Strong skills in SAS, along with knowledge of data management and statistical analysis, can improve job prospects, especially as data-driven decision-making grows across sectors.
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Sas Programmer jobs near you
Infographic showing various Sas Programmer job openings in Minnesota as of September 2026, with employment types broken down into 53% Full Time, 14% Part Time, 2% Temporary, and 31% Contract. Highlights an 84% In-person, 2% Hybrid, and 14% Remote job distribution, with an average salary of $99,830 per year, or $48 per hour.

Sr. Data Scientist

Minnetonka, MN • On-site

Nexwave
IT Services • 1 - 5K employees
Learn more about Nexwaveexternal

$70/hr

Other

Posted 11 days ago

Job description

Role - Sr. Data Scientist

Location: Minnetonka, MN (Onsite/Hybrid)

  • Must be local to the Minnetonka, MN area and available for onsite work from Day 1.
  • Healthcare Domain background Experience Must


Rate: $70/hr. on C2C/1099 (OR) $60/hr. on W2 (Max Rates)

Requirements:

  • 5+ years of professional Data Science/ML experience.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field.
  • Strong Python/R/SAS and SQL skills.
  • Experience with machine learning, anomaly detection, pattern recognition, predictive modeling, clustering, and time-series analysis.
  • Healthcare experience with claims, clinical, member, provider, or operational data preferred.
  • Experience with Azure, Snowflake, MLOps, CI/CD, and production ML pipelines preferred.
  • Excellent communication and stakeholder management skills.

Preferred Qualifications:

  • Master's degree in a quantitative, computational, or engineering discipline.
  • Experience working with healthcare data, including claims, clinical, member, provider, financial, or operational datasets.
  • Hands-on experience developing anomaly detection or pattern recognition systems using supervised, semi-supervised, or unsupervised learning techniques.
  • Experience with advanced modeling approaches such as ensemble methods, deep learning, graph analytics, natural language processing, embeddings, or large language models.
  • Experience with CI/CD platforms and automated deployment workflows for analytical or machine learning applications.
  • Familiarity with MLOps practices including model registries, experiment tracking, automated testing, model versioning, deployment strategies, monitoring, observability, and model lifecycle management.
  • Experience with workflow and pipeline orchestration technologies used to automate data processing, model training, scoring, and deployment.
  • Experience integrating machine learning or analytical services with other technology systems through APIs, services, event-driven processes, databases, or enterprise applications.
  • Experience working in cloud-based analytics environments, particularly Azure and Snowflake.
  • Familiarity with containerization, infrastructure automation, or modern software engineering practices used to deploy and operate analytical workloads.
  • Experience troubleshooting complex analytical systems across data, model, pipeline, infrastructure, and application layers.
  • Ability to balance statistical rigor, technical scalability, explainability, maintainability, and business usability when designing analytical solutions.

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