IT Business Intelligence/Data Analyst III

IT Business Intelligence/Data Analyst III will be responsible for translating student, faculty, and staff data into clear, usable, actionable information that supports the university's strategic plan and mission of the university. The key responsibilities of the Institutional Research Data Analyst will be to 1) translate and visualize data and information into actionable dashboards, 2) communicate information derived from data to a broad range of campus stakeholders, and 3) contribute meaningfully to the data analytics community.

Responsibilities
Strategic Analysis

Collects and integrates external data sets with internal data elements for analysis to understand underlying patterns and trends using statistical techniques to develop business intelligence insights and compellingly present them to enable strategic and sustainable institutional decisions. Data integration and analysis will require the use of database query tools, statistical and analytical software, and data discovery tools to extract, manipulate, and analyze data, trends, and patterns.

Summarize qualitative and quantitative data. Knowledge of which data visualization would be most appropriate for the audience and type of data is critical. This position will be responsible for maintaining the institutional Fact Book.

Responsible for validating institutional data, identifying gaps in data, researching and recommending appropriate transformations of relevant data elements, research methods, and/or software tools to better perform data analytics and deliver critical results.

Department Required Skills

This position requires an Undergraduate Degree in Data Analytics, Statistics, Mathematics, Computer Science, Psychology, or Economics or three to four years of experience analyzing and synthesizing complex data sets to produce highly readable, informative reports and presentations.

Demonstrated experience in statistical analysis and modeling techniques, including probability and statistical models, trend analysis, regression, analysis of variance and multivariate analysis, factor analysis, etc. Experience with predictive models and machine learning techniques such as clustering, regression, artificial neural networks, and decision trees. Advanced knowledge of SAS (Base, Enterprise Miner, Enterprise Guide, and/ or Visual Analytics), R, or SPSS.

Carolina Hall, G033

8:00am-5:00pm Monday-Friday

This position requires an Undergraduate Degree in Data Analytics, Statistics, Mathematics, Computer Science, Psychology, Economics or three to four years of experience analyzing and synthesizing complex data sets to produce highly readable, informative reports, and presentations.

Demonstrated experience in statistical analysis and modeling techniques, including probability and statistical models, trend analysis, regression, analysis of variance and multivariate analysis, factor analysis, etc. Experience with predictive models and machine learning techniques such as clustering, regression, artificial neural networks, and decision trees. Advanced knowledge of SAS (Base, Enterprise Miner, Enterprise Guide, and/ or Visual Analytics), R, or SPSS.

Funding is renewed annually from 10/1 through 9/30.

Please Note: A criminal background check will be conducted on candidate finalist prior to the offer of employment.

If no applicants apply who meet the required competency and T&E requirements, then management may consider other applicants. Salary would be determined based on competencies, equity, budget, and market considerations.

Resumes will not be accepted in lieu of completing an electronic application. The application must be competed in full detail (including work history) for your qualifications to be considered.

Failure to complete the application completely may result in you not being considered for the vacant position.

Your application for the position will not be complete until you receive an online confirmation number at the end of the process of applying for a position.

If you have general questions about the application process, you may contact Human Resources at OHR@wssu.edu. Individuals with disabilities requiring disability-related accommodation in the application and interview process, please call 336-750-2834