Research Systems Analyst - Temporary

Princeton University; Princeton (NJ); Remote; USD 30,000 - 50,000; Full time

Job summary

Join a forward-thinking institution as a Research Systems Analyst in a temporary summer role. Collaborate with the Research Computing team to analyze reporting tools and metrics, identify inefficiencies, and recommend solutions for process improvements. This position offers the flexibility of remote work, making it an ideal opportunity for those looking to gain experience in a dynamic research environment. If you are passionate about data analysis and technology, this role could be the perfect fit for you.

Qualifications

• High school diploma or GED required.
• Experience with Linux and API is preferred.

Responsibilities

• Analyze reporting processes for research computing metrics.
• Collaborate with team leads for data retrieval enhancements.
• Communicate findings and recommend process improvements.

Skills

Linux

API

Data Visualization

HTTPS

JSON

Education

High School Diploma or GED

Job description

Overview

The Research Systems Analyst will partner with Research Computing team leads to understand current reporting tools, methods, and metrics for compute node & storage usage and performance. They will be responsible for analyzing this information in order to identify trends, discover potential inefficiencies, and recommend solutions for process improvements, workflow adjustments, and data warehousing. This is a temporary summer position with approximate start and end dates of June 3 and August 2 and is open to remote applicants.

Responsibilities

• Analyze existing reporting processes for research computing metrics including but not limited to user demographics, researcher engagement, support tickets, computational hours/usage, data movement performance, storage utilization, training, sponsors, and cluster contributions.
• Collaborate with Research Computing team leads to gather requirements for data retrieval process enhancements and metrics automation.
• Effectively communicate findings and recommend solutions for process improvement, including technology implementation, workflow adjustments, and data analysis.

Qualifications

• High school diploma or GED
• Preferred experience with Linux, API, data visualization, HTTPS, and JSON would be helpful.

Be advised that you will be contacted only if there is further interest in your application. Your candidate dashboard may not display status updates for this requisition. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS

Standard Weekly Hours

0.00

Eligible for Overtime

Yes

Benefits Eligible

No

Probationary Period

N/A

Essential Services Personnel (see policy for detail)

No

Physical Capacity Exam Required

No

Valid Driver’s License Required

No#LI-LO1