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Structural Equation Modeling Sas Jobs (NOW HIRING)

Prophet

Insights Associate

Austin, TX · On-site

$80K - $95K/yr

Develop and execute analysis plans in service of project objectives, including statistical methodologies such as segmentation, multivariate analysis, regression, structural equation modeling, choice ...

Prophet

Insights Associate

Chicago, IL · On-site

$80K - $95K/yr

Develop and execute analysis plans in service of project objectives, including statistical methodologies such as segmentation, multivariate analysis, regression, structural equation modeling, choice ...

Prophet

Insights Associate

Chicago, IL · On-site

$80K - $95K/yr

Develop and execute analysis plans in service of project objectives, including statistical methodologies such as segmentation, multivariate analysis, regression, structural equation modeling, choice ...

Clarivate

Director, Healthcare Consulting - Psychometrics

$168K - $210K/yr

... and Structural Equation Modeling * Experience developing or contributing to statistical analysis ... Proficiency with statistical software used for quantitative analysis, including SAS, SPSS, and/or R ...

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How much do structural equation modeling sas jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for structural equation modeling sas in the United States is $23.16, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals using Structural Equation Modeling (SEM) with SAS, and how can they be addressed?

Professionals working with Structural Equation Modeling in SAS often encounter challenges such as ensuring proper model specification, handling missing data, and interpreting complex output. It’s important to carefully prepare your data and have a strong understanding of both theoretical frameworks and SAS-specific syntax. Collaborating with statisticians or colleagues experienced in SEM can help resolve ambiguities in model design and output interpretation. Many teams also benefit from using SAS documentation and community forums to troubleshoot issues and stay updated on best practices.

What is Structural Equation Modeling (SEM) in SAS?

Structural Equation Modeling (SEM) in SAS is a statistical technique that allows researchers to evaluate complex relationships among observed and latent variables using path analysis, factor analysis, and regression models. SAS provides specialized procedures, such as PROC CALIS, to specify, estimate, and test SEM models. These tools help users analyze the direct and indirect effects between variables and assess model fit, making them valuable for research in social sciences, marketing, and other fields. SEM in SAS is known for its flexibility and ability to handle large datasets and sophisticated model structures.

What are the key skills and qualifications needed to thrive as a Structural Equation Modeling (SEM) specialist using SAS, and why are they important?

To thrive as a Structural Equation Modeling (SEM) specialist using SAS, you need a solid background in statistics, quantitative research methods, and experience with SEM concepts, often supported by an advanced degree in a relevant field. Proficiency in SAS software, particularly PROC CALIS or other relevant procedures, and familiarity with statistical programming and data management are crucial. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex models and explaining results to stakeholders. These abilities ensure accurate model building and clear insights, which are vital for high-impact research and data-driven decision-making.
Infographic showing various Structural Equation Modeling Sas job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 17% Physical, and 83% Remote job distribution, with an average salary of $48,166 per year, or $23.2 per hour.
Insights Associate

Insights Associate

Prophet

Austin, TX • On-site

$80K - $95K/yr

Other

Posted 25 days ago

Job description

About The Role

The Insights Team is an important enabling capability for the firm. Over half of the firm's revenue is driven by client engagements that involve some form of Insights work. The Insights team members work to design both qualitative and quantitative insights that ultimately drive the strategies and recommendations made to our clients. This is a consulting and market research based role and is client facing.

This Insights role uses market research, analytic methods, and business knowledge to design, build, and interpret market research and analytical models to meet client business objectives. You will work as part of a project team across all phases of insight development - conceptualization, research design, statistical modeling and analysis, and insight development. The role uses an understanding of market research and analytical methods to address project team and client goals.

Your Day to Day
  • Translate key business questions into qualitative and quantitative research plans
  • Develop end-to-end custom quantitative research including sampling plans and questionnaires
  • Develop and execute analysis plans in service of project objectives, including statistical methodologies such as segmentation, multivariate analysis, regression, structural equation modeling, choice modeling, and experimental design
  • Share and interpret outputs, analytic findings and insights with internal project and client teams
  • Iterate and finalize findings into client-ready presentations
  • Manage external market research vendors on research fieldwork, data collection, and data processing
  • Work simultaneously on multiple projects with tight deadlines and navigate ambiguity
  • Pursue proactive and effective interaction with other internal teams throughout Prophet and help improve = tools, methodologies, and processes
What You Bring
  • Degree with strong background in quantitative methods, market research, or behavioral sciences (e.g., Market Research, Statistics, Psychology, Behavioral Economics/Decision Sciences) OR one or more years of experience in a fast-paced quantitative market research arena/role
  • Experience applying quantitative, qualitative, and market research techniques to business problems
  • Strong conceptual understanding of research and analytic methods such as segmentation (e.g., factor/cluster, latent class modeling), regression & structural equation/pathway modeling, choice modeling (e.g., MaxDiff Scaling, conjoint modeling), experimental design, among others
  • Proficient in executing two or more of the above methods using statistical software packages such as SPSS, Latent Gold, Stata, R, Python and/or Sawtooth
  • Proficient knowledge of Excel & PowerPoint
  • Ability to draw insights from data and compellingly communicate results and illustrate recommendations to a "lay" audience
  • Strong written and oral communication skills
  • Strong project management and organization skills
  • Demonstrated comfort using AI tools (e.g., ChatGPT, Claude, or similar) to support research, synthesis, and drafting of materials.
  • Basic grasp of business & brand strategy a plus

Location: Austin

Salary Range: $80,000-95,000

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