Data Consultant 3

• Determine the development, design, implementation, maintenance, and modification of complex research projects involving data collection, algorithms, data manipulation, analytical modeling, data warehousing, and computer applications and reporting systems
• Develop technical work methods in production of projects and analyses of research data
• Design methods for data mining, algorithms, and application of complex statistical reasoning and statistical procedures to measure the effectiveness of the universitys practices
• Develop experimental design approaches and designs that enhance complex reporting systems

• Bachelors degree in statistics, data science, data analytics, computer science, economics, or mathematics with coursework in mathematical statistics (theory) and general linear models OR Two years of experience working as Data Consultant 2 or equivalent OR Equivalent education/experience
• One year of experience developing queries using Structured Query Language (SQL)
• Demonstrated experience working with database management systems (e.g., Oracle, PostgreSQL, MySQL), including the ability to analyze data structures, interpret relationships between tables, and apply principles of relational database design
• One year of experience applying complex statistical reasoning and statistical procedures using the Python or R programming language (STATA, SAS or similar will also be considered)
• Excellent reproducible research habits (e.g., using Git and clean code practices)
• Proven ability in data cleaning techniques that ensure accuracy and reliability
• Demonstrated ability to learn and apply new statistical/machine learning methods
• Demonstrated expertise in interpreting and communicating data insights through visualization and analytical tools, ensuring clarity and accessibility for diverse audiences
• One year of experience presenting research and/or statistical findings and methods to technical and non-technical constituents
• Demonstrated ability to apply a responsive and flexible approach that is supportive of the needs including universal access of our students, faculty, staff and the public.

• Masters degree in statistics, data science, data analytics, computer science, economics, or mathematics with coursework in mathematical statistics (theory) and general linear models
• Knowledge and implementation of machine/statistical learning methodology (predictive modeling workflow)
• R package development experience
• Demonstrated experience with Tableau (or Power BI) data visualization tools
• Experience working with student-related higher education data and analyzing issues related to student enrollment, persistence, and completion
• Experience with Ellucian Banner systems

• Demonstrated ability to work independently or collaboratively when needed
• Demonstrated ability to deal with critical and time-sensitive processes
• Demonstrated ability to maintain confidentiality of verbal or written documents and sensitive data
• Foster a culture of ethical research, a commitment to diversity, and encourage a supportive, team-oriented work environment

<strong>Conduct Research and Effectiveness Evaluations</strong>

• Establish project data requirements and data mining methods using SQL, mathematical statistical processing, and other computer application software
• Develop forms and procedures for reporting research information
• Provide complex, comprehensive analysis of statistics
• Model and frame analytical scenarios impacting decisions and processes
• Develop advanced statistical data analysis and complex design algorithms
• Solve client analytics problems and communicate results and methodologies
• Devise and ensure data mining design obtains appropriate and complete data required for a comprehensive analysis
• Compose written reports and give presentations explaining the findings to technical and non-technical audiences
• Review reports prepared by other organizations to evaluate their impact on, or relationship to, the universitys strategic goals and objectives
• Gather, analyze, and report data from external data sources in response to recurring and ad hoc requests
• Collaborate on local and national studies used in the management of the university
• Complete similar additional duties assigned by the Director

• Assist with the design, implementation, maintenance, and improvements of data visualizations, dashboards, and reports
• Query (using SQL), analyze, and report data from the universitys business intelligence systems in response to recurring and ad hoc requests
• Check reporting procedures for uniformity for university employees to obtain data they require for their routine reporting
• Create and maintain predictive analytics models
• Assist with the compilation, formatting, cleaning, and submitting of data into the Integrated Postsecondary Education Data System (IPEDS) and Public Centralized Higher Education Enrollment System (PCHEES)
• Collaborate with IT technical experts, budget analysts, and other staff to audit student census data and improve reporting processes
• Complete similar additional duties assigned by the Director