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Assessment and Program Evaluation Analyst

Stanford University
Stanford, USA
Full-time
Mid
Hybrid
Discovered 2 weeks ago

Full Job Posting

Responsibilities

  • Core Duties:
  • Answer questions by developing research methodology, gathering data and/or using appropriate statistical techniques on available data.
  • Drive the collection of new data and the refinement of existing data sources through the use of algorithms and/or other advanced techniques.
  • 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 that “tells the story” behind the data and influences how the organization approaches the challenge.
  • May interact with senior leaders and faculty 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.
  • Minimum Education:
  • Bachelor’s degree.
  • Minimum Experience:
  • Four years extensive experience or combination of education and relevant technical field experience solving analytical problems using quantitative approaches.
  • Knowledge, Skills and Abilities:
  • Demonstrated experience querying, processing, analyzing, and reporting on large data sets.
  • Proficiency in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Experience in empirical research and answering hard questions with data.
  • Interpersonal and communication skills to effectively convey findings and influence senior leadership & faculty.
  • Ability to use data retrieval and manipulation tools such as SQL, R, Python, etc. in conjunction with data visualization tools such as Tableau to present data clearly to non-technical audiences.
  • Familiarity and experience with intermediate statistical methods; advanced proficiency with statistical tools such as SPSS, STATA, R or similar tools.
  • Ability to tell stories with data using data visualization software Ability to present data clearly to non-technical audiences.
  • Flexible analytical approach allowing for results at varying levels of precision.
  • Familiarity with strategic planning concepts.
  • Strong project management skills.

Qualifications

  • Bachelor’s degree.
  • Familiarity with strategic planning concepts.

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