Academic Information Analyst

California, United States
19 Oct 2018
End of advertisement period
19 Dec 2018
Contract Type
Full Time

The Office of Graduate Education (OGE) aims to help train and empower the next generation of leaders and innovators within and beyond academia and industry. Our graduate students are the central drivers and conductors of some of the most transformative research in the world. Our office offers programs and services to support graduate students and sustain the level of excellence achieved by the Stanford Biosciences.  The Academic Information Analyst (Organizational Insight Analyst 1, J) is a key member of the School of Medicine Office of Graduate Education, reporting to the Associate Dean for Graduate Education.  The role is responsible for providing analysis of key academic drivers in the biosciences to support the decision making of the Dean and Senior Associate Deans. The Academic Information Analyst gathers, interprets, monitors, and analyzes information regarding academics, finances, policies, procedures, demographics, and operational outcomes yielding actionable information in wide-ranging areas. The Analyst will also provide expert knowledge of Stanford’s reporting systems for Educational Programs & Services and in support of our departments and programs. Reporting to the Associate Dean for Graduate Education & Diversity, this position performs under minimal supervision and as a member of several teams. *This position is not scheduled to move to Stanford Redwood City. JCC 4748/Grade J.

Duties include:

  • Based on interactions with the senior associate dean, associate dean of graduate education & diversity and OGE staff, formulate questions and strategies for delivering useful guidance for high level messaging as well as detailed decision making.
  • 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.
  • Develop complex budget and forecasting scenarios, long-range planning and analyses for financial reporting and presentations; design and run ad hoc reports.
  • 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.
  • Work with staff with widely varying technical skill levels and backgrounds, to provide training, documentation, one to one consultations, and support for collaboration across departments.
  • 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 timeframe 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


Bachelor degree in a relevant technical field and four years’ extensive experience or combination of education and relevant technical field experience solving analytical problems using quantitative approaches.


  • 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.
  • Highly effective interpersonal skills, working with people who have a wide range of technical abilities and backgrounds and competing interests.
  • Demonstrated ability to work effectively in a team environment.
  • Familiarity with the academic information environment of a university (graduate enrollment, faculty, academic departments, fund accounting, etc). Preference for experience with Stanford’s AXESS and BI systems.
  • Demonstrated experience querying, processing, analyzing, and reporting on large data sets.
  • Ability to use data retrieval and manipulation tools such as SQL, Brio Query, Business Objects, conjunction with visual data tools to present data clearly to nontechnical audiences.
  • Familiarity and experience with intermediate statistical methods; ability to become advanced in proficiency with statistical tools such as SPSS, SAS, R or similar tools.
  • Ability to tell stories with data using data visualization software such as Tableau, Excel, SPSS, or similar software in conjunction with strong verbal ability.
  • Ability to use visual data tools to present data clearly to nontechnical audiences.
  • Flexible analytical approach allowing for results at varying levels of precision.
  • Familiarity with strategic planning concepts.
  • Excellent project management skills.


  • Constantly perform desk-based computer tasks. 
  • Frequently stand/walk, sitting, grasp lightly/fine manipulation.
  • Occasionally use a telephone. 

Rarely lift/carry/push/pull objects that weigh 11-20 pounds.

* - 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.


May work extended hours or weekends during peak business cycles.