... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
... programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision ...
Sas Developer information
See Iowa salary details
$7.68 - $13.59
2% of jobs
$13.59 - $19.50
0% of jobs
$19.50 - $25.41
2% of jobs
$25.41 - $31.32
0% of jobs
$31.32 - $37.23
6% of jobs
$37.23 - $43.15
2% of jobs
$46.45 is the 25th percentile. Wages below this are outliers.
$43.15 - $49.06
22% of jobs
The median wage is $51.31 / hr.
$49.06 - $54.97
40% of jobs
$55.07 is the 75th percentile. Wages above this are outliers.
$54.97 - $60.88
15% of jobs
$60.88 - $66.79
7% of jobs
$66.79 - $72.70
3% of jobs
$7
$50
$72
How much do sas developer jobs pay per hour?
What is the difference between Sas Developer vs Data Analyst?
| Aspect | Sas Developer | Data Analyst |
|---|---|---|
| Required Credentials | Proficiency in SAS programming, often with a degree in computer science, statistics, or related fields | Degree in statistics, mathematics, or related fields; skills in data visualization and analysis tools |
| Work Environment | Typically in IT or analytics teams within finance, healthcare, or pharma industries | In business, marketing, or finance departments analyzing data for insights |
| Employer & Industry Usage | Used by organizations needing advanced data processing and reporting with SAS | Used across various industries for interpreting data and supporting decision-making |
The main difference is that a Sas Developer specializes in developing and maintaining SAS-based data solutions, while a Data Analyst focuses on interpreting data and generating insights, often using a variety of tools including SAS. Both roles require strong analytical skills, but Sas Developers are more technical and programming-focused, whereas Data Analysts emphasize data interpretation and communication.
What is the salary of SAS developer?
What Is a SAS Developer?
A SAS developer has extensive experience with SAS, a computer program developed by the SAS Institute. As a SAS developer, your job duties include improving and writing program-specific code, developing data sets and projects, and performing marketing analysis using reports you’ve created. This job generally requires highly specialized IT skills, including familiarity with other computer programs and mainframe programming languages, and is a great way to advance your career in tech. Of course, you must have previous job experience working with SAS. Other qualifications include a bachelor’s degree in computer science or related field, though some employers prefer a master’s degree. In some cases, several years of proven experience may be substituted for formal education.
Is SAS programming in demand?
What is a SAS Developer?
What are the key skills and qualifications needed to thrive as a SAS Developer, and why are they important?
Is it hard to get a job at SAS?
How does a SAS Developer typically collaborate with data analysts and business stakeholders on projects?
How much do SAS programmers make in the US?
$125K/yr
Other
Posted 16 days ago
U.S. Department Of The Treasury rating
8.2
Based on 13 frontline employees who took The Breakroom Quiz
238th of 693 rated public administrative organizations
Job description
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.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: 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: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
- Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
- Developing or applying statistical, machine learning, operations research, artificial intelligence, 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, neural networks or deep learning, or exploratory data analysis.
- Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
- Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
- Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
- Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
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
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
What U.S. Department Of The Treasury employees say
Pay
Hours and flexibility
Workplace
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About US Department of the Treasury
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Industry
Public administration
Company size
10,000+ Employees
Headquarters location
Washington, DC, US
Year founded
1789