Data Analytics College Aide

City of New YorkNew York City, NY

About The Position

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.

Requirements

  • Matriculation at an accredited college or graduate school.
  • Employment is conditioned upon continuance as a student in a college or graduate school.
  • 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.
  • 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.

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.

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What This Job Offers

Job Type

Part-time

Career Level

Entry Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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