Institutional Research Analyst

UO HR WebsiteEugene, OR
Hybrid

About The Position

The Research Analyst supports the Office of Data Enablement’s mission to provide trusted data, data tools, and user support for institutional decision-making. This position works on a team that supports data needs across campus, but primarily partners with Academic Affairs to collect, analyze, and communicate data related to student and faculty success, with an emphasis on producing timely, accurate, and well managed analyses that inform academic and curricular priorities. Working independently and collaboratively, the analyst develops dashboards, standard and ad hoc reports, and analytical tools that address critical questions related to curriculum, program and student learning outcome assessment, and student success. Responsibilities include managing data collection and cleaning, selecting appropriate methodologies, and translating findings into clear findings for diverse audiences. The role supports key institutional efforts such as strategic plan implementation, curricular analytics, and assessment reporting. The Research Analyst collaborates with campus data partners to promote shared data definitions, access, and efficiencies that strengthen internal data use. The position also contributes to proactive data dissemination and user education, expanding effective use of existing data sources and tools. This role requires careful handling of sensitive and confidential data, strong time management skills, and the ability to manage multiple projects in a dynamic environment. The position is grounded in a commitment to user-support, effective decision-making and to improving institutional practice through thoughtful analysis, clear communication, and well-designed data tools.

Requirements

  • Bachelor’s degree in data science, statistics, social science, education, or related field, AND two years of experience in research, data analysis, or assessment (or equivalent combination of education and experience)
  • Two year’s experience using data visualization software (e.g., Power BI, Tableau)
  • Experience producing and maintaining dashboards, regular performance reports, and/or ad hoc analyses for decision makers using tools such as SQL, R, Python, Power BI, Tableau.
  • Experience working successfully with complex relational databases and with statistical resources such as query and business intelligence tools.
  • Experience using statistical analysis software (e.g., Stata, SPSS, SAS, R).
  • Strong organizational and time management skills, with the ability to manage multiple projects and firm deadlines.
  • Demonstrated ability to work effectively and collaboratively with a wide variety of university constituencies.
  • Ability to work independently as well as in a collaborative team environment.
  • Ability to translate complex data into clear, accurate, and audience appropriate insights for non technical users.

Nice To Haves

  • Experience with higher education learning outcome assessment or program evaluation.
  • Experience working with sensitive or confidential data and applying appropriate data stewardship and privacy practices.
  • Graduate-level coursework in statistics, research methods, data management, social-science research or relevant experience.

Responsibilities

  • Develops dashboards, standard and ad hoc reports, and analytical tools that address critical questions related to curriculum, program and student learning outcome assessment, and student success.
  • Manages data collection and cleaning.
  • Selects appropriate methodologies.
  • Translates findings into clear findings for diverse audiences.
  • Supports key institutional efforts such as strategic plan implementation, curricular analytics, and assessment reporting.
  • Collaborates with campus data partners to promote shared data definitions, access, and efficiencies that strengthen internal data use.
  • Contributes to proactive data dissemination and user education, expanding effective use of existing data sources and tools.
  • Handles sensitive and confidential data.
  • Manages multiple projects in a dynamic environment.

Benefits

  • health insurance
  • retirement plans
  • paid time off
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