Program Analyst Jobs

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About The Position

Oregon State University’s College of Earth, Ocean, and Atmospheric Sciences (CEOAS) is hiring a full-time Academic Programs Data Analyst and Class Scheduler to support the College’s operational and strategic goals through data-informed insights. The position partners closely with the institution’s central UIT data team and uses standardized tools, systems, and practices aligned with enterprise-wide data governance. It works with CEOAS academic programs leadership on enrollment management planning and forecasting course capacity needs, supports data-driven decisions, and assesses the effectiveness of student recruitment and success initiatives, recommending improvements as appropriate. The position manages CEOAS curriculum and approval processes and plans, develops, implements, and manages the College’s class schedule. Responsibilities also include tracking student enrollment and success metrics, providing decision-making support to College leadership, communicating curricular and scheduling changes, and preparing analyses and recommendations. The position uses CLSS and 25Live for course scheduling and academic event reservations. The role is based in Corvallis, Oregon, and works in an office environment as part of the academic administration and student services team. This recruitment is for one position. The anticipated start date is January 11, 2027. Starting salary is commensurate with skills, education, and experience; the listed salary range is $23.52–$35.74.

Requirements

  • Two years of experience as an administrative specialist or executive support specialist, including administrative support for a project, program, or operation; qualifying support includes duties beyond clerical or secretarial work such as interpretation of laws, rules, and regulations; administrative data collection and analysis; and evaluation of projects, processes, and operations; or an equivalent combination of training and experience.
  • One year of postsecondary education may substitute for up to one year of the required experience.
  • Demonstrated critical-thinking and problem-solving skills, including evaluating information, identifying opportunities for improvement, and implementing effective solutions.
  • Ability to work independently and collaboratively as part of a team.
  • Effective verbal and written communication skills.
  • Proficiency with Office software and applications such as Word and Excel.
  • Experience using collaborative cloud platforms.
  • Strong time-management skills and ability to prioritize work and resolve problems to meet deadlines.
  • Must successfully complete a criminal history check and be determined position qualified under the applicable University Standard; incumbents are required to self-report convictions.

Nice To Haves

  • Experience with OSU scheduling and curriculum management systems, including CLSS, 25Live, and CIM.
  • Familiarity with data management platforms such as CORE.
  • Experience analyzing data to solve specific problems.
  • Experience presenting research, data, or findings to stakeholders.

Responsibilities

  • Track and report CEOAS student enrollment and success metrics.
  • Provide data and decision-making support to CEOAS Assistant and Associate Deans, unit chairs, and academic program directors.
  • Oversee the curriculum proposal review process.
  • Plan, develop, manage, and administer CEOAS course scheduling.
  • Communicate curricular or scheduling changes to students, CEOAS stakeholders, and stakeholders outside CEOAS.
  • Prepare analyses and recommendations for CEOAS leadership to inform curriculum management and course scheduling.
  • Use CLSS and 25Live platforms for course scheduling and academic event reservations.
  • Partner with academic programs leadership on enrollment management planning and forecasting course capacity needs.
  • Assess the effectiveness of student recruitment and success initiatives and recommend changes to improve effectiveness.
  • Work with the institution’s central UIT data team and follow standardized tools, systems, and practices for enterprise-wide data governance.

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