This position is part of the BYU-Pathway Institutional Research (IR) team, which makes data visible and actionable for organizational decision-makers and implementation teams. BYU-Pathway operates with more of a start-up feel than is common in higher education research, creating significant opportunity for innovation and analytical impact. Leadership relies on IR to explain initiative performance, monitor key performance indicators, conduct applied research, and forecast future institutional outcomes.
This position is centered on transforming institutional data and research into trusted analytic products, clear findings, and actionable guidance. The incumbent will build and maintain reporting products, execute research projects, steward complex analytic methods, support shared reporting standards, and coordinate with internal and partner-organization stakeholders. Success requires strong technical capability, disciplined research practice, sound judgment, and the ability to communicate clearly with both technical and non-technical audiences.
Work Schedule: This is a full-time benefitted position located within commuting distance of BYU-Pathway headquarters in downtown Salt Lake City. The position is hybrid-remote, currently requiring 1-3 days per week in the office, and the incumbent must physically reside and perform assigned work in Utah. Occasional travel will be necessary.
Education
Bachelor's degree in statistics, data science, computer science, economics, mathematics, educational assessment, social science research, or another quantitative field. Master's degree preferred.
Experience
Experience in business intelligence, data analytics, reporting, or institutional research. Experience integrating data from multiple systems and supporting organizational decision-making is preferred.
Required Skills
• Power BI (reports, data models, Dataflows, Power Query, DAX)
• Proficiency in SQL for extracting, validating, and shaping data for analysis and reporting
• Data integration and data quality validation procedures
• Understanding of data lifecycle and reporting architecture
• Strong research design skills, including translating stakeholder needs into measurable questions, defining outcomes, selecting methods, and documenting assumptions and limitations
• Statistical analysis[DW4.1] and quantitative reasoning (descriptive and inferential)
• Data visualization skills (technical and soft skills) which integrates analytics, design, and storytelling
• Strong written and verbal communication
Preferred Skills[DW5.1]
• Survey design, administration, and reporting (particularly in Qualtrics).
• Semantic models and data modeling
• R programming experience
• Experience in designing and synthesizing qualitative research (e.g., interviews, focus groups, and mixed-methods synthesis).
• Experience in higher education or institutional research
• Experience with learning analytics and assessment
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