Location: Binghamton, NY Category: Professional Posted On: Tue Sep 26 2017 Job Description:
Budget Title: Assistant for Institutional Research (SL-3)
Salary: commensurate with education and experience
The Office of Institutional Research and Assessment (OIRA) at Binghamton University is seeking a Data Analyst. The Data Analyst reports to the Associate Director for Institutional Research and is responsible for supporting a wide range of activities required of the Office of Institutional Research. Primary responsibilities include but are not limited to:
Preparing and submitting Federal, State and Institutional data requirements
Managing/data cleaning/data merging/data verification on large scale student, employee, and course database
Completing and/or coordinating reports and surveys for external agencies and organizations
Responding to ad hoc requests for information
Developing and conducting survey research in response to institutional needs
Performing other data related duties as assigned
OIRA is in charge of producing official reports to various external agencies, and is also in charge of rolling out reports and dashboards to a broad set of colleges and offices on campus. As such, the Data Analyst plays a significant role in making sure that data and information produced by the Office of Institutional Research and Assessment is delivered accurately and efficiently, internally and externally.
Bachelor's degree (or higher)
At least 6 months experience in conducting data analysis on a large-scale database
At least 6 months experience in data cleaning/ data merging/ data verification for accuracy and consistency
Proficiency using Excel in creating pivot tables and charts
Proficiency using any statistical software packages such as Base SAS/STATA/R or any other programming languages
Other Knowledge, Skills and Abilities:
At least 6 months work experience in Higher Education/ Institutional Research environment
Ability to interface multiple data platforms and integrate into a single output
Ability to prioritize and manage multiple projects and tight deadlines in a sometimes stressful environment
Ability to attend to details with an unfailing commitment to accuracy and internal consistency
Ability to communicate effectively, both orally and in writing, and to present statistical and analytical information clearly
Ability to develop and maintain effective working relationships with system and campus key offices
Ability to collect and compile information independently and respond immediately to complex requests
Ability to clean, sort, summarize, interpret and analyze data
Ability to design and administer surveys using web based survey management software
Ability to work independently and in a team collaboratively
Ability to judge multiple priorities and planning well ahead to complete the tasks accurately
Degree in Mathematics, Computer Science, Statistics, Business, Data Analytics or other related field
Experience with data submissions to SUNY system or any education system working to support deadlines
Experience with Banner system
Experience using Qualtrics
Experience with Business Intelligence programming languages, such as Tableau, R, SQL, Oracle, or other similar reporting tools
Experience with predictive modeling in higher education, such as SAS Enterprise Miner
Basic business knowledge related to institutional effectiveness and assessment
Sponsorship for U.S. employment purposes is not available for this position.
Offers of employment may be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials.
Binghamton University is a tobacco-free campus.
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Equal Opportunity/Affirmative Action Employer The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception.
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