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Sas Analyst Part Time Jobs (NOW HIRING)

$19 - $26/hr

The part-time position is for a Research Technologist to assist Dr. Shalev with laboratory assays ... analysis, and ideally knowledge in statistical software (SPSS, SAS, R). Please include the ...

Epidemiologist

Nashville, TN · On-site

$35 - $37.78/hr

... hiring a part-time contract Epidemiologist to serve as the Evaluator for the Rural Health ... analysis software including SAS, Tableau, ArcGIS and other similar tools Train RHTP grantees on ...

... hiring a part-time contract Epidemiologist to serve as the Evaluator for the Rural Health ... analysis software including SAS, Tableau, ArcGIS and other similar tools Train RHTP grantees on ...

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Sas Analyst Part Time information

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$22

$49

$74

How much do sas analyst part time jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for sas analyst part time in the United States is $49.88, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $58.65 per hour, depending on experience, location, and employer.

What kinds of projects or tasks do part-time SAS Analysts typically handle?

Part-time SAS Analysts are commonly tasked with data extraction, cleaning, and transformation, as well as generating reports and statistical analyses for various business units. Depending on the organization’s needs, you might support ongoing projects, assist with ad hoc data requests, or help develop and optimize analytical models. You’ll frequently collaborate with full-time analysts, business managers, or IT professionals to ensure that data-driven insights align with company goals. Despite reduced hours, your contributions are vital in meeting project deadlines and delivering high-quality analytical outputs.

What is a Sas Analyst Part Time job?

A SAS Analyst Part-Time job involves analyzing data using SAS (Statistical Analysis System) software to support business decision-making. Responsibilities typically include data extraction, cleaning, and creating reports or visualizations. Part-time analysts may work on specific projects or assist full-time analysts with data-related tasks. This role is common in industries like finance, healthcare, and marketing, where data analysis is essential. It requires proficiency in SAS programming, statistical knowledge, and problem-solving skills.

What are the key skills and qualifications needed to thrive in the Sas Analyst Part Time position, and why are they important?

To succeed as a Sas Analyst Part Time, you need strong analytical skills, a background in statistics or data analysis, and familiarity with SAS programming. Experience with data visualization tools, large dataset management, and possibly SAS certifications is often required. Attention to detail, effective communication, and time management are crucial soft skills for collaborating with stakeholders and balancing part-time hours. These abilities ensure accurate data insights, efficient reporting, and productive teamwork in a flexible work environment.

More about Sas Analyst Part Time jobs
What cities are hiring for Sas Analyst Part Time jobs? Cities with the most Sas Analyst Part Time job openings:
What are the most commonly searched types of Sas Analyst jobs? The most popular types of Sas Analyst jobs are:
What states have the most Sas Analyst Part Time jobs? States with the most job openings for Sas Analyst Part Time jobs include:
Infographic showing various Sas Analyst Part Time job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $103,758 per year, or $49.9 per hour.
Adjunct Instructor- Statistics For Healthcare Managers

Adjunct Instructor- Statistics For Healthcare Managers

Weatherford College

Weatherford, TX • On-site

$926/wk

Part-time

Posted 12 days ago


Job description

Posting Details
Position Information
Requisition Number
P0047314
Open Date
07/01/2025
Close Date
Open Until Filled
No
Campus
Online/Distance Learning [50]
Full-time/ Part-time
Part-time
Job Type
Part-time Faculty
Title
Adjunct (general education)
Pay Rate
$926 per load unit
Projected Start Date
Term
Other
Is Grant Funded?
No
Position Summary Information
Job Description Summary
The Online Adjunct Faculty for Statistics for Healthcare Managers will be responsible for delivering engaging, high-quality instruction to graduate or undergraduate students in an online learning environment. The course is designed to equip healthcare professionals with statistical tools and methodologies applicable to healthcare management, decision-making, and research. The faculty member will develop course content, assess student learning, and provide support and feedback to ensure student success.
Required Education
All faculty members must provide minimum Southern Association of Colleges and Schools (SACS) credential standards which normally include a Master's degree with 18 graduate semester credit hours in the teaching discipline. Transcripts, certificates, and/or license must be submitted with application.
Required Experience
  • Demonstrated expertise in statistical methods and their application in healthcare settings.
  • At least 2-3 years of teaching experience, preferably in an online environment.
  • Familiarity with Learning Management Systems (LMS) such as Blackboard, Canvas, or Moodle.
  • Proficiency in statistical software such as SPSS, SAS, R, or Excel for data analysis.
  • Strong communication skills, with the ability to explain complex statistical concepts to students from various backgrounds.

Preferred Education
Master's or Doctorate degree in Statistics, Biostatistics, Healthcare Management, or a related field.
Preferred Experience
  • Experience working in or consulting with healthcare organizations, applying statistical analysis to real-world management problems.
  • Prior experience teaching statistics specifically to healthcare managers or healthcare professionals.
  • Experience developing online course content, including multimedia learning materials.

Essential Duties and Responsibilities
  • Deliver asynchronous and/or synchronous instruction on topics related to statistics, such as descriptive and inferential statistics, probability, data analysis, regression models, and their applications in healthcare management.
  • Design and develop course materials, including lectures, readings, case studies, and assignments, that are relevant to healthcare settings.
  • Provide timely and constructive feedback on student performance, including grading assignments, exams, and projects.
  • Support students through regular communication, virtual office hours, and discussion forums, addressing any questions or concerns.
  • Ensure the course content aligns with current trends in healthcare and statistical methods, integrating real-world healthcare management examples.
  • Participate in faculty meetings and contribute to program development as needed.

Knowledge, Skills and Abilities
Requires a specialized set of knowledge, skills, and abilities to effectively engage students and deliver complex statistical concepts within a healthcare context.
Statistical Concepts and Methods:
  • In-depth knowledge of both descriptive and inferential statistics, including probability theory, hypothesis testing, regression analysis, correlation, and sampling techniques.
  • Expertise in statistical applications relevant to healthcare management, such as biostatistics, epidemiology, data interpretation, and statistical modeling for healthcare decisions.

Healthcare Systems and Data:
  • Understanding of healthcare systems, operations, and the types of data commonly used in healthcare (e.g., patient outcomes, operational metrics, quality data).
  • Familiarity with how statistics are applied to areas like healthcare quality improvement, public health, risk assessment, and performance benchmarking.

Statistical Software:
  • Proficiency in statistical analysis tools and software commonly used in healthcare, such as SPSS, SAS, R, or Excel.
  • Ability to guide students in using these tools for real-world data analysis in healthcare settings.

Research and Evidence-Based Practice:
  • Knowledge of research design, methodology, and interpretation of results in healthcare, particularly in using statistics to drive evidence-based practice and decision-making.

Educational Technology:
  • Familiarity with Canvas Learning Management Systems (LMS) .
  • Understanding of online education best practices, including how to deliver engaging, interactive content and assess learning in a virtual environment.

Special Instructions to Applicants
To be considered for this position all applicants must submit the following (incomplete applications will not be reviewed:
Cover Letter:
  • Please submit a cover letter detailing your relevant experience in healthcare finance, teaching philosophy, and why you are interested in this online adjunct position.

Curriculum Vitae/Resume:
  • Provide a current CV or resume that outlines your academic and professional experience, particularly in healthcare finance and online teaching. Highlight any relevant certifications or specializations.

Sample Syllabus:
  • Applicants are encouraged to submit a sample syllabus or course outline for a healthcare finance course, demonstrating how they would structure the course content, learning outcomes, and assessments.

Evidence of Teaching Effectiveness:
  • Provide evidence of teaching effectiveness, such as recent student evaluations, peer reviews, or examples of innovative teaching practices used in online or hybrid settings.

This position is designated as a security sensitive position and requires a satisfactory criminal history background check.
Males between the ages of 18 through 25 must be properly registered with the Selective Service System to be eligible for employment.
Weatherford College is an Equal Opportunity institution that provides educational and employment opportunities on the basis of merit and without discrimination regardless of age, sex, race, color, religion, national origin, disability, veteran status, genetic information, sexual orientation or gender identity.