Academic Assessment and Information Analyst

SLAC; Palo Alto (CA); Ibrido; USD 143.000 - 152.000; Tempo pieno

Descrizione del lavoro

SLAC National Accelerator Laboratory seeks an Academic Assessment and Information Analyst to analyze key school-wide academic drivers and support decision‑making for the Dean and Senior Associate Deans. You will gather data on policies, demographics, and outcomes and deliver actionable insights.

The role involves building dashboards, models, and reports, serving as the primary contact for data requests, and collaborating with IR&DS and other Dean’s Office teams on analyses and planning.

Competenze

• Bachelor’s degree in a quantitative or analytical field and five to eight years of experience in institutional research, data analysis, or reporting.
• Master’s degree preferred; relevant university experience may substitute.
• Proficiency with data retrieval and manipulation tools such as Tableau Prep Builder, Alteryx, Python, etc.
• Experience building and maintaining dashboards in Tableau or a comparable tool.

Mansioni

• Analyze key academic drivers to support Dean and Senior Associate Deans’ decision‑making.
• Gather, interpret, monitor, and analyze information on policies, demographics, and operational outcomes.
• Produce dashboards, models, and reports to support annual and long‑range planning.
• Serve as primary contact for internal and external data requests.
• Collaborate with Dean’s Office teams and IR&DS to deliver analyses with minimal supervision.

Conoscenze

Tableau Prep Builder

Alteryx

Python

Tableau

Data analysis

Statistical methods

Stakeholder communication

Formazione

Bachelor’s degree in a quantitative or analytical field

Master’s degree preferred

Strumenti

Python

Tableau

Descrizione del lavoro

This position has been deemed critical by the School of Humanities and Sciences Dean’s Office and is exempt from the hiring freeze.

Work Arrangement: This is a hybrid position based on the Stanford campus, with a minimum of 3 days per week on site.

Budgeted Salary: The budgeted base salary range for this position is $143,111 to $151,918 annually.

The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university’s largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day.

Department/Program Description:

The Humanities and Sciences Data and Planning team is the data and analysis function behind decision‑making in the H&S Dean’s Office. We source, integrate, and validate data from university systems covering student records, faculty appointments, degree enrollment and conferrals, finances, course enrollment patterns, and space, and we build the dashboards, models, and reports the deans rely on when weighing resource decisions. We take open‑ended questions from the deans and from units across the school, turn them into defined analyses, and present the findings. We assess how the school’s academic programs and initiatives are performing, serve as the school’s primary point of contact for internal and external data requests, and provide the analysis underpinning annual and long‑range planning. The work is technical and collaborative, connecting us to every unit in the Dean’s Office and to data partners across the university.

Position Summary

The Academic Assessment and Information Analyst is a key member of the School of Humanities and Sciences Data and Planning team, reporting to the Chief of Staff and working closely with the other Dean’s Office functional teams and with the Institutional Research & Decision Support (IR&DS) team. The role is responsible for analyzing the key academic drivers in the school to support the decision‑making of the Dean and Senior Associate Deans. The Analyst gathers, interprets, monitors, and analyzes information on policies, procedures, demographics, and operational outcomes, yielding actionable information across a wide range of areas, and conducts assessments of initiatives undertaken by the school. The Analyst also provides expert knowledge of Stanford’s reporting systems and delivers reporting for the Dean’s Office and in support of our departments and programs. The Analyst works with minimal supervision as part of a team of analysts supporting our office.

This is a 100% FTE, exempt, continuing position and will be based on the Stanford campus.

Thank you for considering employment opportunities with the School of Humanities and Sciences.

Preferred Requirements

Additional highly preferred qualifications for this position include:

Bachelor’s degree in a quantitative or analytical field — statistics, data science, economics, social science research methods, higher education administration, or a related discipline — and five to eight years of experience in institutional research, data analysis, or reporting. Master’s degree preferred; relevant experience in a university setting may substitute.

• Proficiency with data retrieval and manipulation tools such as Tableau Prep Builder, Alteryx, Python, etc.
• Experience building and maintaining dashboards in Tableau or a comparable tool
• Experience designing and conducting program assessment or evaluation — defining measures, collecting data, and reporting on outcomes
• Familiarity with higher education data domains — student records (enrollments, degree conferrals, courses), faculty appointments, financial, staff and space data
• Demonstrated ability to translate an open‑ended question from a non‑technical stakeholder into a defined analysis, and to present findings clearly to senior leadership
• Strong judgment about data quality and discretion with confidential institutional data
• Ability to manage concurrent requests with competing deadlines and communicate tradeoffs proactively
• Experience using AI tools to accelerate analytical work — drafting and debugging code, exploring unfamiliar datasets, or synthesizing qualitative material — paired with sound judgment about when output requires human verification
• Demonstrated use of AI tools in analytical work, and interest in helping the team develop its practices for using them well.

Successful candidates will have a sense of curiosity and a desire to solve problems. They are comfortable navigating ambiguity and managing changing priorities, work collaboratively across teams, and bring a learner’s mindset — thinking strategically and holistically about their work. They take initiative and are ready to tackle complex problems.