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Data Analytics College Aide

CityOfNewYork

New York City, NY, United States permanent

Posted: March 12, 2026

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Quick Summary

Data Analysts are responsible for analyzing and interpreting large datasets to inform business decisions and drive business growth. Key responsibilities include data wrangling, feature engineering, and model deployment. Strong analytical skills and programming expertise in Python or R are required.

Job Description

About TRS

Since 1917, the Teachers’ Retirement System of the City of New York (TRS) has been securing better futures for NYC educators. With a pension fund valued at approximately $123 billion, TRS serves over 274,000 members, providing them with retirement, disability, and death benefit services.

TRS' Qualified Pension Plan (QPP) is a defined benefit plan that provides members with a monthly retirement allowance upon meeting certain eligibility requirements. TRS members can also enhance their benefits with a Tax-Deferred Annuity (TDA) Program, which offers multiple investment options and tax-deferred earnings.

At TRS, we seek dedicated professionals who are passionate about their work and committed to excellence. We pride ourselves on our member-centric culture, focused on delivering outstanding service and support to our members.

Position Summary

As a Data Analytics College Aide, you will play a crucial role in supporting the department’s efforts to analyze and assess the effectiveness and efficiency of its operations. You will work to collect, organize and analyze large amounts of data from various sources to provide insights and recommendations that aid in decision-making and strategic planning.

Responsibilities

-Assist in collecting, organizing and analyzing large datasets using statistical methods and data visualization techniques.
-Collaborate with team members to identify trends, patterns and insights from data to support key strategic decisions.
-Utilize Tableau, Excel, and other analytical tools to enter, manipulate and clean data to conduct accurate and meaningful analysis.
-Develop and maintain dashboards and reports to track and monitor key performance indicators.
-Assist in the preparation and presentation of data findings to various stakeholders within TRS.
-Participate in cross-functional projects and contribute to the continuous improvement of data analytics processes and systems.

COLLEGE AIDE (ALL CITY DEPTS) - 10209

For Assignment Level I:
Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school.
For Assignment Level II (Information Technology):
Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school with a specific course of study in information technology, computer science, management information systems, data processing, or closely related field, including or supplemented by 9 semester credits in an acceptable course of study.
For Assignment Level III (Information Technology Fellow):
Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school with a specific course of study in information technology, computer science, management information systems, data processing, or other area relevant to the information technology project(s) assigned, including or supplemented by 9 semester credits in an acceptable course of study. Appointments to this Assignment Level will be made by the Technology Steering Committee through the Department of Information Technology and Telecommunications.

SPECIAL NOTE
Maximum tenure for all Assignment Levels in the title of College Aide is 6 years. No student shall be employed more than half-time in any week in which classes in which the student is enrolled are in session. Students may be employed full-time during their vacation periods.

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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