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Institutional Research Analyst

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POST DATE 9/2/2016
END DATE 11/2/2016

Stanford University Stanford, CA

Stanford, CA
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Full Time
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Stanford University

Institutional Research Analyst

Job Number: 72342

Job Purpose:
The Institutional Research Analyst will report to the Associate Vice Provost of Institutional Research and Decision Support. The IR&DS Office is the University's principal source of data and analysis on a broad array of institutional topics, including but not limited to student enrollment, admission, financial aid, faculty, research, budget and finances, tuition and fees, etc. Under general direction, the Senior Institutional Research Analyst will be responsible for working with stakeholders to identify information needs, selecting data sources and presentation mechanisms appropriate to tasks and audiences, and delivering clear, accurate, informative results related to student academic progress, enrollments and curricular planning. Selected incumbent will support development of analytic and reporting systems, including data analysis and solution design, in support of student, faculty and/or other institutional topics decision support.. Interprets, monitors, and analyzes information regarding student, faculty and/or other institutional related policies, procedures, demographics, and operational outcomes yielding actionable information to guide decisions in wide-ranging areas. Provides related consultative services, in support of academic and institutional decision making.

This level performs under minimal supervision and includes both routine and challenging assignments; this is differentiated from Level 2 based on the smaller impact and visibility of findings involved (e.g.: an academic program might be changed; explore the use of staggered work hours and work from home options as a means of decreasing in and out bound traffic to the campus during peak hours).

Core Duties:

Develop and apply business intelligence and data visualization techniques to enhance the timeliness and usefulness of student related data; create queries and reports using local tools.
Answer questions by developing research methodology, gathering data and/or using appropriate statistical techniques on available data.
Drive collection of new data and the refinement of existing data sources; apply and use algorithms or other advanced techniques to accomplish this.
Fully analyze the problem, question existing processes and assumptions, gather data and information, find and evaluate alternative solutions, and propose best course of action.
Explore data from multiple angles, determine meaning behind the data, and recommend ways to apply the data.
Communicate, convey, and visualize informed conclusions and recommendations across an organization's leadership structure in a manner to tell the story behind the data and influence how organization approaches the challenge.
May interact with and influence senior leaders, faculty, and/or senate with written summaries and/or presentations on assigned research.
May delineate the information to be gathered, collect data at the project inception, prescribe how to structure the data, and specify the data warehousing structure for future access.
Through data, may predict what actions will be taken in a designated time frame for a prescribed issue/challenge.
May need to collaborate with other organizations to gather data. Proactively seek and locate data, including outside benchmarks or comparative data, to support or refute proposed decisions.

*Other duties may also be assigned
Education & Experience:
Bachelor's degree and four years of extensive, relevant experience or combination of education and relevant technical field experience solving analytical problems using quantitative approaches.
Experience in the collection, management, analyses and presentation of student enrollment, admissions and curricular data in a university setting is preferred.
Experience developing and implementing analytic reporting systems in support of improving access to institutional information.

Knowledge, Skills and Abilities:

Proficiency in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
Extensive experience in and strong passion for empirical research and answering hard questions with data. Interpersonal and communication skills to effectively convey findings and broad trends to a variety of audiences and positively influence senior leadership & faculty.
Ability to use data retrieval and manipulation tools such as SQL, Brio Query, Business Objects, OBIEE and the like.
Ability to tell stories with data using data visualization software such as Tableau, Excel, SPSS,or similar software, in conjunction with strong verbal ability to present data clearly to non-technical audiences.
Familiarity and experience with intermediate statistical methods; proficiency with statistical tools such as SPSS, SAS, R or similar tools.
Flexible analytical approach allowing for results at varying levels of precision.
Familiarity with strategic planning concepts.
Excellent project management skills.

Physical Requirements:

Constantly perform desk-based computer tasks.
Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less.
Occasionally write by hand, twist, bend, stoop and squat.
Rarely stand, walk, reach or work above shoulders and use a telephone.

*Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

Working Conditions:
May work extended hours during peak business cycles.

Work Standards:

Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,

*The final candidate will need to successfully pass a background check to be considered for this position.

Job: Information Analytics

Location: Other

Schedule: Full-time

Classification Level:

To be considered for this position please visit our web site and apply on line at the following link:

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

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