IT Business Intelligence/Data Analyst III

at  WinstonSalem State University

POSITION SUMMARY

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.

PREFERRED YEARS OF EXPERIENCE, SKILLS, TRAINING, EDUCATION

• Advanced degree in Data Analytics, Statistics, Mathematics, Computer Science, Psychology, Economics, and three to four years of experience analyzing and synthesizing complex data sets to produce highly readable, informative reports and presentations.
• Demonstrated advanced knowledge of Rapid Insight, VEERA, Power BI, and Tableau or similar software to create visualizations for web publications, presentations, etc.
• Ability to clearly communicate and accurately present methodology and results of analyses to various technical and non-technical internal audiences
• Collaborate effectively with co-workers
• Self-motivated with a strong orientation for customer service
• The individual in this position will be expected to enhance effective data dissemination and discussion between the schools/colleges and the administrative offices.
  Position Information

DEPARTMENT REQUIRED SKILLS

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.

PREFERRED YEARS EXPERIENCE, SKILLS, TRAINING, EDUCATION

• Advanced degree in Data Analytics, Statistics, Mathematics, Computer Science, Psychology, Economics and three to four years of experience analyzing and synthesizing complex data sets to produce highly readable, informative reports, and presentations.
• Demonstrated advanced knowledge of Rapid Insight, VEERA, Power BI, and Tableau or similar software to create visualizations for web publication, presentations, etc.
• Ability to clearly communicate and accurately present methodology and results of analyses to various technical and non-technical internal audiences
• Collaborate effectively with co-workers
• Self-motivated with a strong orientation for customer service
• The individual in this position will be expected to enhance effective data dissemination and discussion between the schools/colleges and the administrative offices.

SPECIAL INSTRUCTIONS SUMMARY

Please Note: A criminal background check will be conducted on the final candidate before the offer of employment.
Failure to complete the application 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. For your qualifications to be considered, the application must be completed in full detail (including work history).
Winston Salem State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran and National Guard.
If you have general questions about the application process, you may contact Human Resources at OHR@wssu.edu. Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 336-750-2834.

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.
Institutional Reporting
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.
Data Integrity
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.