Assistant Director of Analytics & Assessment

About the Role

The Assistant Director of Analytics and Assessment assists with the coordination and implementation of data-informed decision-making analytics projects in the Isenberg School of Management (ISOM). The position is responsible for cultivating and communicating insights from data to facilitate decision-making, support program planning, support analytics-driven effectiveness and efficiency initiatives, and contribute to the rankings of Isenberg School of Management (ISOM).

Responsibilities

• Teaching Load Reporting and Data Management
  • Leads, collects, and analyzes data and shares insights on teaching load and overload teaching information for reporting to senior leadership and university administration.
  • Maintains and updates teaching load and overload reports every Fall and Spring semester.
  • Works directly with faculty to ensure teaching load data are collected, updated, and continuously reviewed.
  • Ensures teaching load data are accurate, consistent, and collected in a timely manner.
  • Maintains confidentiality and adheres to data security policies.
  • Attends university trainings and workshops as needed to stay up to date on reporting requirements.
• Analytics and Additional Data Management
  • Designs, creates, and implements insightful data dashboards, databases, and other reporting tools to support key strategic initiatives and ad-hoc requests for monitoring of admissions standards, enrollments, classroom utilization, student retention, student completion rates, and faculty utilization.
  • Assists with data retrieval and submissions for external rankings of undergraduate and graduate programs.
  • Supports the reporting of progress and performance on School strategic initiatives to the University Office of Institutional Effectiveness and public-facing audiences.
  • Works with key stakeholders across ISOM and the University to coordinate and respond to information requests.
  • Ensures effective communication and proper documentation of data sources, standards, and related processes and policies.
  • Translates success metrics into tracking and reporting requirements.
  • Makes actionable recommendations to business decision-makers based on research and analytical results.
  • Contributes to required AACSB accreditation surveys and reports including faculty qualification and intellectual contribution tracking and assessment of learning outcomes.
• Administrative and Programmatic Duties
  • Supervises up to 2 student staff and interns.
  • Collaborates to devise, implement, and improve processes for data gathering and distribution across multiple departments and various channels.
  • Supports survey assessment design, distribution, and management.
  • Coordinates with Associate Director to plan and implement data trainings for faculty and staff.
  • Coordinates with Associate Director to support the collection of Assurance of Learning data.
• Other Functions
  • Performs related duties as assigned or required to meet department, school, and university goals and objectives.

Requirements

• Bachelor’s degree and three (3) years of experience in business analytics.
• Analytically minded with an aptitude for numbers and visualization of data.
• Ability to analyze data to support management decisions and improve performance.
• Ability to make data digestible to non-technical individuals or teams.
• Demonstrated ability to think through problems and apply critical thinking skills.
• Excellent accuracy and attention to detail.
• Experience with data visualization and dashboard tools such as Tableau.
• Independent initiative and willingness to ask questions.
• Ability to establish priorities and manage multiple complex projects.
• Ability to clearly and confidently communicate project requirements and challenges with teammates.
• Ability to collaborate and maintain productive relationships on and with cross-functional teams.
• Strong skills in all Microsoft Office programs, especially Excel.
• Strong commitment to customer service.

Preferred Qualifications

• Master’s degree in data analytics or related field.
• At least one (1) year of experience in higher education or institutional research.
• Experience with customer relationship management (CRM) and entity resource planning (ERP) systems, specifically Salesforce and SPIRE.
• Programming experience using statistical tools (e.g., KNIME, SAS, R, SPSS).
• Ability to learn new technical skills rapidly and independently.

Additional Details

• May require occasional travel for meetings and professional development opportunities.
• Work is performed in a standard office or indoor university environment and involves minimal physical exertion.

Schedule

Monday - Friday, 8:30 am - 5 pm. May require work some nights & weekends as pertains to business needs.

This position has the opportunity for a hybrid work schedule, which is defined by the University as an arrangement where an employee’s work is regularly performed at a location other than the campus workspace for a portion of the week.

Pay

Pay Grade: PSSAP Grade 27