Part-time temporary IR Research Assistant

Project Management: Ability to manage multiple priorities and deadlines in a fast-paced environment Collaboration: Strong partnership skills across academic, administrative, and IT functions Communication: Ability to present complex data clearly to executive and non-technical audiences Strategic Thinking: Ability to connect data findings to institutional goals and long-term planning Problem-Solving: Ability to identify data issues and develop innovative solutions Technical Expertise: Proficiency in statistical tools, data visualization platforms, and database systems Data Analysis & Interpretation: Advanced ability to analyze large datasets and generate meaningful insights Data Governance & Integrity: Strong understanding of data standards, validation processes, and compliance requirements Ethics & Confidentiality: Commitment to responsible data use and protection of sensitive information Detail Oriented: Must have superior attention to detail and strong follow-through; outstanding organizational, verbal, and written communication skills; Accuracy and timeliness are essential Service Oriented: Personal orientation toward service to others and support of the University’s Vincentian Mission of service Required Education and Experience: Bachelor’s degree in social sciences or other related analytical field required. 2–4 years of experience in institutional research, data analysis, or a related analytical role. Demonstrated proficiency in data analysis tools (e.g., Excel, SQL). Strong analytical and problem-solving skills with the ability to interpret complex datasets.

creating reports, dashboards, and data visualizations.

Strong attention to detail and commitment to data accuracy and integrity.

Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Knowledge of data privacy standards and ability to handle sensitive information responsibly.

Proven performance with Microsoft Office 365 applications with specific knowledge of Excel and experience with Adobe Acrobat.

Preferred Education and Experience: Master’s degree in a quantitative, analytical, or higher education-related field.

in higher education or institutional research office.

with data visualization tools (e.g., Tableau, Power BI).

Familiarity with student information systems (e.g., Banner, PeopleSoft, Workday).

Knowledge of higher education metrics, benchmarking, and reporting frameworks (e.g., IPEDS, accreditation standards).

with predictive analytics, data modeling, or machine learning techniques.

Understanding data governance frameworks and data warehousing.

• Project Management: Ability to manage multiple priorities and deadlines in a fast-paced environment
• Collaboration: Strong partnership skills across academic, administrative, and IT functions
• Communication: Ability to present complex data clearly to executive and non-technical audiences
• Strategic Thinking: Ability to connect data findings to institutional goals and long-term planning
• Problem-Solving: Ability to identify data issues and develop innovative solutions
• Technical Expertise: Proficiency in statistical tools, data visualization platforms, and database systems
• Data Analysis & Interpretation: Advanced ability to analyze large datasets and generate meaningful insights
• Data Governance & Integrity: Strong understanding of data standards, validation processes, and compliance requirements
• Ethics & Confidentiality: Commitment to responsible data use and protection of sensitive information
• Detail Oriented: Must have superior attention to detail and strong follow-through; outstanding organizational, verbal, and written communication skills; Accuracy and timeliness are essential
• Service Oriented: Personal orientation toward service to others and support of the University’s Vincentian Mission of service

• Bachelor’s degree in social sciences or other related analytical field required.
• 2–4 years of experience in institutional research, data analysis, or a related analytical role.
• Demonstrated proficiency in data analysis tools (e.g., Excel, SQL).
• Strong analytical and problem-solving skills with the ability to interpret complex datasets.
• Experience creating reports, dashboards, and data visualizations.
• Strong attention to detail and commitment to data accuracy and integrity.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.
• Knowledge of data privacy standards and ability to handle sensitive information responsibly.
• Proven performance with Microsoft Office 365 applications with specific knowledge of Excel and experience with Adobe Acrobat.

• Master’s degree in a quantitative, analytical, or higher education-related field.
• Experience in higher education or institutional research office.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with student information systems (e.g., Banner, PeopleSoft, Workday).
• Knowledge of higher education metrics, benchmarking, and reporting frameworks (e.g., IPEDS, accreditation standards).
• Experience with predictive analytics, data modeling, or machine learning techniques.
• Understanding data governance frameworks and data warehousing.

Work Environment This position operates in a professional office environment.

This role routinely uses standard office equipment such as personal computers, printers, etc.

Physical Demands While performing the duties of this job, the employee is occasionally required to stand; reach with hands and arms; climb stairs; bend and stretch to file documents.

The employee must work on a computer.

Position Type/Expected Hours of Work This is a part-time temporary position on the Queens campus.

Travel Travel is primarily local and may include visits to the other NY campuses or to local institutions for occasional meetings.

This position operates in a professional office environment.

This role routinely uses standard office equipment such as personal computers, printers, etc.

While performing the duties of this job, the employee is occasionally required to stand; reach with hands and arms; climb stairs; bend and stretch to file documents.

The employee must work on a computer.

This is a part-time temporary position on the Queens campus.

Travel is primarily local and may include visits to the other NY campuses or to local institutions for occasional meetings.

St.

John’s offers an extremely comprehensive benefits program to meet the diverse needs of our workforce.

Along with exceptional benefits such as medical, dental, life insurance, long term disability insurance, tuition remission, generous 403(b) employer contribution, employee assistance program, and liberal paid time off policies, employees can also enjoy St.

John’s performing arts, libraries, bookstore, dining facilities, campus recreation, and sporting events.