Senior Assessment and Analytics Scientist, Division of Campus Life

External Applicants:

Please ensure all required documents are ready to upload before beginning your application, including your resume, cover letter, and any additional materials specified in the job description.

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• Navigate to the "My Experience" application page.

• Locate the "Resume/CV" document upload section at the bottom of the page.

• Use the "Select Files" button to upload your cover letter, resume, and any other required supporting documents. You can select multiple files.

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Job Description Summary

Job Description

Essential Functions:

• Develop and lead collaborative measurement, evaluation, and analysis efforts related to student success.

• Provide support, tools, and training for leaders to comply with university standards, accreditation requirements, and other compliance frameworks.

• Create tools, training, and other technical resources to help leaders and their teams integrate measurement, evaluation, and analysis into evidence-informed practices for their compliance, program development, and other activities.

• Serve as a central technical resource on and implement projects in:

  • Instrument development and psychometric methods.

  • Advanced qualitative, quantitative, and mixed-method evaluation and research methods.

  • Assessment and analysis strategies.

  • Formative, summative, and other approaches to program evaluation and assessment planning.

  • Evidence-informed practice.

  • Large data management and analysis.

• Create accessible and actionable reports and visualizations to inform data-driven decision-making.

• Develop and implement strategies that build and sustain a culture of assessment, evaluation, inquiry, and other components of evidence-informed practice.

• Collaborate with other units across the University to ensure the most effective, and efficient practices in measurement, evaluation, analysis, and information management, and other areas as relevant.

• Lead the identification, implementation, and management of software, information management, and other tools related to measurement, evaluation, and analysis.

• Serve on relevant university committees.

• This position is eligible for flexible work.

Required Education, Knowledge, Skills, Abilities:

• Masters Degree in assessment and measurement; higher education; educational research; social sciences research; statistics; or related field.

• Five or more years post-degree experience in a higher education setting leading qualitative, quantitative, and mixed-methods research; multivariate statistical analysis and data visualization; and assessment and program evaluation efforts.

• Experience working collaboratively with a wide range of constituencies, including students, staff, faculty, and administrators.

• Experience leading the technical and logistical components of multidisciplinary research projects in collaboration with experts from multiple substantive backgrounds.

• Experience with advanced multivariate statistical methods, such as latent variable modeling, causal analyses, predictive analytics, longitudinal and time series modeling, and psychometric analyses.

• Experience with a range of qualitative data analysis methods, including content and thematic analysis.

• Experience developing and administering measures and surveys, including psychometric and measure-development research methods.

• Expertise in leading formative and summative program evaluations, preferably in higher education settings.

• Ability to clearly communicate and accurately present methodology and results of analyses to various technical and non-technical audiences using a variety of visual, written, and/or verbal formats.

• Highly organized, and self-directed, with the ability to design and manage projects independently as well as part of a team.

• Experience analyzing, integrating, and managing multiple data sources such as systems-wide records, survey data, and academic data.

• Ability to use statistical software (e.g., SAS or R) to analyze and report quantitative data.

• Experience with data management using SQL and similar database tools.

• Demonstrated knowledge of Power BI, Tableau, or similar software to create visualizations for web publications, presentations, etc.

• Experience with survey and database software used to collect and manage data (e.g., Qualtrics and Airtable).

• Familiarity with software used to analyze qualitative data (e.g., MaxQDA).

Preferred Education, Knowledge, Skills, Abilities:

• Doctorate in assessment and measurement; higher education; educational research; social sciences research; statistics; or related field.

• Seven or more years post-degree experience leading qualitative, quantitative, and mixed-methods research; multivariate statistical analysis and data visualization; and assessment and evaluation, in a higher education setting.

• Familiarity with change management, participatory design, and project management best practices to promote ownership and engagement in assessment practices at all organizational levels.

• Proficient use of assessment software to manage processes, data, and continuous improvement cycles.

Physical Requirements:

• Light walking.

• Occasional lifting or carrying equipment up to 30 lbs.

• Bending, stooping, reaching and climbing.

Environmental Conditions:

• Indoor/Outdoor.

• Some exposure to hot/humid/cold temperatures and weather conditions like rain/snow.

Additional Job Description

Time Type Requirement

This position profile identifies the key responsibilities and expectations for performance. It cannot encompass all specific job tasks that an employee may be required to perform. Employees are required to follow any other job-related instructions and perform job-related duties as may be reasonably assigned by his/her supervisor.

In order to provide a safe and productive learning and living community, Wake Forest University conducts background investigations and drug screens for all final staff candidates being considered for employment.

Equal Opportunity Statement

The University is an equal opportunity employer and welcomes all qualified candidates to apply without regard to race, color, religion, national origin, sex, age, sexual orientation, gender identity and expression, genetic information, disability and military or veteran status.

Accommodations for Applicants

If you are an individual with a disability and need an accommodation to participate in the application or interview process, please contact AskHR@wfu.eduor (336) 758-4700.