IT Business Intelligence/Data Analyst III
Winston-Salem State University
On-site
Winston-Salem, North Carolina, United States
$87,518 - $100,000 USD yearly
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. 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. 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 . 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.
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.
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. 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 . 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.
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.