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Sas Programming Jobs in Maine (NOW HIRING)

Td

Collections Strategy Manager

Portland, ME · On-site

$120K - $145K/yr

Familiar with various analytical or reporting tools, such as SAS, R, Matlab Tableau, etc. * Strong ... Bachelor's degree in STEM (e.g., Statistics, Mathematics, Engineering, Computer Science, Economics)

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$14

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$77

How much do sas programming jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for sas programming in Maine is $47.45, according to ZipRecruiter salary data. Most workers in this role earn between $33.27 and $59.57 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 Maine? For Sas Programming jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Sas Programming jobs in Maine look for? The top searched job categories for Sas Programming jobs in Maine are:
Sas Programming jobs near you
Infographic showing various Sas Programming job openings in Maine as of July 2026, with employment types broken down into 77% Full Time, 18% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $98,687 per year, or $47.4 per hour.
Data Scientist-Direct Hire

Data Scientist-Direct Hire

US Department of the Treasury

Bangor, ME • On-site

$74K/yr

Other

Posted 21 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

302nd of 832 rated public administrative organizations

Job description

WHAT IS DATA AND ANALYTICS (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO - DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
EDUCATION/SPECIALIZED EXPERIENCE FOR GS-11: In addition to meeting basic requirements, to be eligible for this position, you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes: Applying descriptive or inferential statistical methods to analyze data, identify trends or patterns, evaluate results, and develop findings, reports, or recommendations; Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis; Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform); Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings; and Creating reports, dashboards, visualizations, written summaries, or presentations to communicate statistical or technical findings to technical or non-technical audiences.
OR
EDUCATION: You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Three (3) full academic years of progressively higher-level graduate education leading to a PH.D or equivalent doctoral degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education.
SPECIALIZED EXPERIENCE GRADE 12: In addition to the basic requirements above, to be eligible for this position at the GS-12 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Planning and carrying out data analysis assignments by applying descriptive or inferential statistical methods to analyze data from multiple sources, validate results, identify trends or patterns, and develop findings, reports, or recommendations.
  • Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, validate, analyze, visualize, or document structured or unstructured data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, prescriptive analysis, or exploratory data analysis, to evaluate data, models, programs, or operations and make projections or recommendations.
  • Creating and presenting reports, dashboards, visualizations, written summaries, or presentations that explain statistical or technical methods, findings, limitations, or recommendations to managers, stakeholders, customers, or project teams.

SPECIALIZED EXPERIENCE GRADE 13: In addition to the basic requirements above, to be eligible for this position at the GS-13 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Independently planning and carrying out data science or statistical analysis projects by defining analytic questions, selecting data sources or methods, analyzing structured or unstructured data, validating results, and developing findings or recommendations.
  • Developing or applying statistical, machine learning, operations research, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, or exploratory data analysis.
  • Using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to prepare, transform, document, analyze, and visualize data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Documenting analytic approaches, assumptions, limitations, validation results, success measures, or key performance indicators, and presenting technical findings or recommendations to managers, stakeholders, customers, or cross-functional teams.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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