Assistant Director, Institutional Research - (STA006584)

Department Name: D0005 Institutional Effectiveness 

Description 

The Assistant Director, Institutional Research supports all aspects of institutional research. Plans, designs, and implements comprehensive institutional research projects to provide information about the University's functioning, its students, and program. The Assistant Director supports and coordinates completion of reports and ad hoc requests from internal and external constituents. The Assistant Director ensures accurate and timely completion of mandated and ad hoc reports.

DUTIES

• Assists with the planning, design, implementation, and administration of the Office of Institutional Research (IR) operations
• Collaborates and interacts with business units and outside constituents to meet reporting needs and ensure accurate data
• Manages office workflow including assignment and prioritization of tasks
• Assigns work to staff members
• Compiles reports for internal and external audiences
• Performs quality assurance checks on reports developed by others
• Manages ad hoc inquiries from both internal and external clients
• Applies research methodology and statistical analysis to support the department in the interpretation of institutional data
• Gathers, analyzes, and presents data for external audiences, including mandated state and federal reports
• Develops and maintains dashboards of data visualizations on Power BI for key stakeholders on campus
• Be key liaison to IT and support all data maintenance, warehousing, and visualization activities
• Participates in the development and testing of the data warehouse
• Builds queries from PeopleSoft

MARGINAL DUTIES

Performs other duties as assigned

SUPERVISORY RESPONSIBILITIES

Direct Reports: Supervises part-time employees

Delegation of Work: Regularly assigns work to subordinate(s)

Supervision Given: Makes final decision on evaluating employee performance; coaching and counseling; and granting time off. Provides recommendations on training; handling employee grievances and complaints; promotions; hiring new employees; discharging employees; disciplinary actions; and scheduling work hours of employees.

KNOWLEDGE, SKILLS, AND ABILITIES

Knowledge:

• Knowledge of trends, issues, and accepted practices relevant to the position
• Knowledge of how to conduct statistical analysis

Skills:

• Candidates must have strong analytical and problem solving skills
• Candidates must have excellent interpersonal and communication skills, including in-person and electronic means
• Excellent organizational skills and a positive attitude

Abilities:

• Ability to effectively communicate with a wide range of individuals and constituencies in a diverse university community
• Documented ability to prioritize and work on multiple projects
• The ability to plan and adapt to change
• The ability to multitask a wide variety of separate projects while under firm deadlines

WORK LOCATION AND PHYSICAL DEMANDS

Primary Work Location: Works in an office environment

Physical Demands: Work is normally performed in a typical interior work environment, which does not subject the employee to any unpleasant elements.

Position is physically comfortable; individual has discretion about sitting walking, standing, etc.

Work environment involves minimal exposure to physical risks.

Qualifications

Required Education: 

• Master's degree in a technical or quantitative field

Required Experience:

• Minimum of years three (3) years of job-related experience
• Experience managing projects
• Experience with presenting complex report information to a variety of audiences
• Experience providing data and research results under tight deadlines
• Experience with PeopleSoft, including query building
• Experience in extracting data from data marts, data cubes, and data warehouses
• Experience with creating visualization of data

License/Certification: None Required

PREFERRED QUALIFICATIONS

• Master's degree in Educational Psychology, Statistics, or other related fields
• Advanced experience in extracting data from data marts, data cubes, and data warehouses
• Experience with training others on data literacy

For additional information and to apply, please visit our site.

The University of Houston-Downtown is an Affirmative Action/Equal Opportunity employer and does not discriminate on the basis of race, sex, age, color, religion, national origin, disability, veteran status, sexual orientation, gender identity or gender expression in the recruitment and admission of students, the recruitment and employment of faculty and staff, and the operation of any of its programs and activities, as specified by all applicable laws and regulations. Women, minorities, veterans and individuals with disabilities are encouraged to apply.