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Data Analyst

Application Procedure:

Please apply here - https://universitytulsa.peopleadmin.com/postings/6168

Job Duties

Drawing on both analytical and technical competencies, the Data Analyst will oversee data integrity and conduct analyses to support institutional planning, evaluation, effectiveness, and reporting efforts. This position will extract, analyze, visualize, and describe a variety of institutional data used internally for strategic decision-making and externally for informational and official reporting to state and federal agencies and other external organizations. This individual will be a highly motivated self-starter who can pay attention to details and complete work in a timely manner. Specifically develops queries, reports, and reporting processes to improve the understanding of institutional data for decision and planning support; analyzes data with a focus on identifying and communicating areas for institutional improvements in efficiency and productivity; interprets data results using a variety of analytical techniques ranging from simple data aggregation to more complex data mining; develops and implements research projects, including selecting appropriate research designs, collecting and analyzing data, preparing narrative reports and presenting results to various stakeholders; performs and oversees a variety of external, internal and ad-hoc reports; collaborates with team members to optimize process flows and research initiatives; works with other institutional committees and staff to coordinate work and provide technical assistance; stays current and willing to learn new technology systems and analytical skills. 

Job Qualifications

Bachelor’s degree from an accredited institution in Statistics, Data Science, Analytics, Social Science or a related quantitative discipline; strong analytical and quantitative skills; excellent verbal and written communication skills; experience using Microsoft Office software applications including, but not limited to, Word, Excel, and Access; proficiency with SQL or ability to learn SQL in a short period of time. 

Preferred - Master’s degree from an accredited institution in Statistics, Data Science, Education, Social Science or a related quantitative discipline; minimum two years of experience in quantitative, qualitative research, data collection, statistical analysis, reporting, and/or data analysis of large data sets; experience in manipulating and analyzing complex, high-volume, high-dimensionality data from various sources; familiarity with diverse data analytics tools and project management; experience using SQLSPSS and R with a strong understanding of advanced analytical and reporting functions; and experience using Tableau dashboard software. 
 

Institution Description

The University of Tulsa seeks to recruit and retain talented students, faculty and staff from diverse backgrounds. The University of Tulsa is an affirmative action/equal opportunity employer and encourages qualified candidates across all group demographics to apply. The University does not discriminate on the basis of personal status or group characteristic including, but not limited to race, color, religion, national or ethnic origin, age, sex, disability, veteran status, sexual orientation, gender identity or expression, genetic information, ancestry, or marital status. The University of Tulsa is an Equal Opportunity Employer including Disability/ Veteran.

Benefits

The University of Tulsa offers a variety of benefit programs and resources to its employees. From health plan options and wellness programs to continuing education opportunities and competitive retirement plans, the University is committed to providing benefits that matter to you at each stage of your employment.

Application Due Date: 2022-07-15
Job Start Date: 2022-08-01
Salary: Dependent on qualifications and experience.
City: Tulsa
State/Province/Region: OK
Institution: University of Tulsa
Reports To: Institutional Research Analyst
Staff # Reporting to Position: 0
Reports In Office: Institutional Research and Data Analytics

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