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Institutional Research - BYU-Pathway Worldwide (Part-Time, Student Employee)

The Church of Jesus Christ of Latter-day Saints
Salt Lake, UT Part Time
POSTED ON 3/28/2025 CLOSED ON 4/26/2025

What are the responsibilities and job description for the Institutional Research - BYU-Pathway Worldwide (Part-Time, Student Employee) position at The Church of Jesus Christ of Latter-day Saints?

Job Description

This position will assist in fulfilling the responsibilities of the Institutional Research team at BYU-Pathway Worldwide, which include data analysis, reporting, qualitative research, and quantitative research. As members of a team of researchers and analysts, student employees will gain experience providing research and data analytics support to a rapidly growing, global organization. This is a part-time position, not to exceed 20 hours per week, scheduled during regular business hours.

Institutional Research student employees provide assistance with reporting and research projects that are used to drive decision making at BYU-Pathway Worldwide and partner institutions. This assistance includes data querying, cleaning, and reporting, as well as using inferential statistics and/or machine learning to improve existing analyses and develop new analyses. Other analysis, reporting, and research methods may also be utilized as needed.

Important: By applying for this position, you are indicating that you are currently authorized to work in the United States without sponsorship, are willing to physically reside and perform the work in Utah or Idaho, and are currently enrolled as a degree-seeking student at one of the CES Institutions (Ensign College, BYU-Pathway Worldwide, BYU, BYU-Idaho, or BYU-Hawaii Online).

Responsibilities

  • Query and report data in response to requests from other BYU-Pathway Worldwide Departments and partner institutions
  • Clean and ingest data from various survey instruments and other sources for use in research projects
  • Conduct exploratory data analyses
  • Review and identify potential improvements to existing research products, particularly statistical models
  • Research, identify, assess, and incorporate new data sources into various research projects
  • Develop new research products, using methods from statistical inference and/or machine learning
  • Assist in coordinating, planning, and reviewing a variety of research instruments, including survey data
  • Other duties as assigned

Qualifications

  • Currently pursuing a degree in Statistics, Data Science, Computer Science, Economics, Data Engineering, or other similar fields with a strong quantitative component. Master’s degree students or upperclassmen (Junior or Senior year) bachelor’s degree students preferred
  • Must be proficient in R and Excel
  • Proficiency in SQL strongly preferred
  • Knowledge of advanced quantitative methods such as multivariate regression analysis or machine learning
  • Excels at communication, teamwork, research, and problem solving

About Us

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord’s work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings— giving Church members places to worship, teach, learn, and receive sacred ordinances—our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.

Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.

Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.
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