COLLEGE AIDE - Data & Analytics Management

Job Description

TASK FORCE: Policy and Operations Research

UNIT: Data & Analytics Management

JOB TITLE: One (1) Undergraduate/Graduate College Aide

CONTROL CODE: POR-25-01


SUMMARY:

The Mayor’s Office of Management and Budget (OMB) is the City government's chief financial agency. OMB's staff of analysts and experts assembles and oversees the Mayor’s expense and capital budgets, which fund the services and activities of approximately 90 City agencies and entities.

Within the Management and Operations Division of OMB, the Policy and Operations Research Task Force is primarily responsible for analyzing fiscal and economic impacts of the City’s policy initiatives and evaluating City agencies’ operations and programs, as well as conducting ad-hoc quantitative analysis. The Data & Analytics Unit conducts data-intensive work to facilitate these tasks & modernize data workflows for other task forces at the agency.

JOB DESCRIPTION:

The data analyst & engineer intern should be skilled in analyzing and visualizing complex data. They should have experience in collecting, cleaning, and analyzing data to identify patterns, trends, and correlations. Experience building a data pipeline or working with cloud computing frameworks and platforms will be relevant.

Responsibilities:
- Using software tools to automate & streamline existing data workflows.
- Using data and analytics to gather conclusions about municipal data. Collecting and analyzing relevant data to identify trends, patterns, and areas for improvement.
- Building data-driven solutions tailored for large datasets.
- Identifying valuable data sources and automating collection processes.
- Undertaking the preprocessing of structured and unstructured data.
- Presenting information using data visualization techniques.
- Removing corrupted data and fixing coding errors and related problems.

In addition to subject matter expertise, the position will require a high capacity for independence, relationship-building, and creativity. The candidate should possess the ability to manage multiple, often-competing priorities.

Preferred Skills:
- Major in Computer Science, Computer Engineering or related fields.
- Proficiency in a popular data science programming language (Python, R, SQL etc.)
- Proficiency with a data visualization software like PowerBI, Tableau, or plotting libraries.
- Knowledge of database principles.
- Ability to communicate clearly in writing and verbally.
- Problem-solving attitude, Have a positive outlook for challenges and potential setbacks.
- Being flexible to work with the unknowns and deal with unexpected events.
- Receptive to feedback and having the patience to work on it.
- Ability to think critically and critique assumptions.
- Ability to communicate conflicts and disagreement in a timely and respectful manner.
- Interest in using automated scripting and modern data tools to clean data and create efficient data pipelines and workflows.
- Interest in and knowledge about NYC government and policy efforts. Educational or professional experience in this area is a plus.
- Knowledge about machine learning, computer vision and image processing is a Plus

Studies have shown that women, people of color, and other under-represented groups are less likely to apply for jobs unless they believe they are able to perform every task in the job description. We are interested in finding the best candidate for the job and will consider any equivalent combination of knowledge, skills, education and experience to meet qualifications. If you are interested in applying, we encourage you to think broadly about your background and skill set for the role.


REQUIREMENTS:

Graduate interns must be currently enrolled in a graduate program. Candidates should have strong analytical, quantitative, research and communication skills. Additionally, candidates must be proficient in MS Word and Excel

Undergraduate interns must be currently enrolled in an accredited college or university. Strong analytical, research and communications skills are required. Candidates must have familiarity in MS Word and Excel

The internship is available during the fall and spring semesters of the 2025 to 2026 school year. The internship will be part-time, with a maximum of 17 hours per week when school is in session. The schedule will be worked out with the selected candidate based on availability. The work must be done during the regular workday, between 8:00 a.m. and 6:00 p.m. – no evenings or weekends.

A cover letter is required to be considered for this position. Applications submitted without a cover letter will not be considered.

WORK LOCATION:

This is an in-person position