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Institutional Research Analyst, Chancellors' Office
2 weeks ago
Position Summary
The Institutional Research Analyst assists in identifying, collecting, developing, modeling, analyzing, and communicating institutional data and other information for internal and external uses, by the instructions of Senior Manager of Institutional Research and Data Management. This role will also participate in institutional research activities and projects to support university accreditation, assessment, decision-making, problem solving, strategic planning, etc.
The main responsibilities include:
Data Management and Liaison with Data Stakeholders (40%)
Collect, clean, integrate and process institutional data from various departments or systems; Oversee daily maintenance of Institutional Research data repositories, ensuring data input and metadata compliance with established standards and protocols; Collaborate with other university departments to gather needs, consolidate consensus, and implement data standards and best practices; Support data quality control efforts across different sections and over time.Data Reporting (40%)
Prepare, analyze, and submit data and information to government agencies, accreditation bodies, and other external agencies, as well as for Institutional Research data products and publications; Respond to requests for data and reports from internal audiences as needed; Develop appropriate data responses by navigating the requirements and operations of both Chinese and American higher education systems.Data Modeling and Analytics (15%)
Assist in developing data models to meet reporting and analytical needs, and contribute to establishing automated data modeling processes to improve efficiency; Conduct quantitative analysis, either through consultation or self-initiation, to generate insights relevant to various institutional needs. Present analytical results in diverse reports, and identify opportunities for improvement based on analytics results.Office Administration and Other Responsibilities as Assigned (5%)
Qualifications
Required Education
Bachelor's Degree or above in quantitative related disciplines, such as (but not limited to) statistics, social sciences, economics, finance, ecology, etc.Required Experience, Knowledge, Skills, and Abilities
Solid statistics or quantitative abilities in research or working; skilled in using analytical tools (i.e. SPSS, SAS, R), data process tools (e.g. Tableau Prep), visualization tools (i.e. Tableau), and programing skills (i.e. SQL or Python) for database manipulation preferred. Strong logical and analytical thinking; Knowledge of survey instruments, protocols, and procedures; Capable of multitask upon deadlines; Highly organized, and rigorous attention to detail; Quick learner; Good spoken and written English skills, and academic writing skills; Understanding of Chinese and international higher education contexts.Additional Information
About NYU Shanghai
NYU Shanghai is China's first Sino-US research university and the third degree-granting campus of the NYU Global Network. We were founded in 2012 by New York University and East China Normal University with the support of the city of Shanghai and the district of Pudong. NYU Shanghai seeks to cultivate globally-minded graduates through innovative teaching, world-class research, and a commitment to public service.
NYU Shanghai is an equal opportunity employer committed to equity, diversity and social inclusion. We are proud of its diverse and talented staff members, who work together to build and sustain this unique and pioneering institution of higher education in China.
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