> Markdown version of [/jobs/ext/2270096-data-engagement-analyst](https://www.wearedevelopers.com/jobs/ext/2270096-data-engagement-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engagement Analyst - **Company:** New York, Inc. - **Location:** New York, NY, United States - **Salary:** $78,740.0 - $90,551.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), Machine Learning, NumPy, Open Data Protocol, SQL Databases, Pandas, Matplotlib, Data Analytics, Programming Languages - **Published:** August 27, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18090466?backUrl=%2Fcareer%2F18090466%2FData-Engagement-Analyst-New-York-Manhattan ## About the Role This is an opportunity to work with a team dedicated to improving safety, accessibility, and mobility throughout New York City. Preference will be given to candidates with demonstrated experience in transportation planning, public engagement, and experience in or with the public sector., 1. A master's degree in transportation engineering, mathematics, urban planning, architecture, landscape architecture, urban studies, or related physical and social science fields; or 2. A baccalaureate degree in engineering from an accredited college and one year of full-time satisfactory experience performing technical work on roadway transportation and traffic studies and area-wide traffic programs; or 3. A baccalaureate degree from an accredited college and two years of full-time satisfactory experience as described in "2" above; or 4. An associate degree or completion of 60 semester credits from an accredited college and four years of full-time satisfactory experience as described in "2" above; or 5. A four-year high school diploma or its educational equivalent and six years of full-time satisfactory experience as described in "2" above. SPECIAL NOTE: In addition to meeting the minimum Qualification Requirements above: To be assigned to Assignment Level II, the candidate must have an additional year of experience as described in the "Qualification Requirements" listed under "2" above. To be assigned to Assignment Level III, the candidate must have an additional two years of experience as described in the "Qualification Requirements" listed under "2" above. Preferred Skills Experience with survey data and Open Data using SQL, Bl tools, and Python, including data science libraries such as Pandas, NumPy and /or Matplotlib, is desirable. The ideal candidate will be skilled in evaluating, collecting, classifying, and analyzing post-engagement outreach data. Candidate should also be comfortable using programming languages to explore complex and nuanced questions about the public engagement processes. Experience in data collection practices, ETL pipeline development, database management, data visualization, and knowledge of machine learning concepts is preferred. The ability to connect complex data trends to broader policy issues is crucial, as is working collaboratively with internal operational planning teams to tailor data analysis and deliverables to their needs. ## Description ***To be considered for this position candidate must be serving permanently in the title of Transportation Specialist, or be reachable on the open competitive civil service list for Exam No. 3027. *** The Transportation Planning and Management Division (TP&M) is responsible for the safe, efficient, and environmentally responsible movement of people and goods on the City's streets, supporting the larger goals of economic and social vitality for people living, working, and doing business in New York City. The division's responsibilities include planning, street design, technical analysis, signs, transit development, freight mobility and markings, ensuring the safety of motor vehicle occupants, pedestrians, and cyclists. TP&M is seeking a motivated candidate to assist in data analysis for the Public Engagement Group (PEG), a critical outreach support team for the TP&M Division. This unit supports Vision Zero safety initiatives cited in the Agency's Strategic Plan and NYC Streets Plan and has been critical to the agency's public engagement strategy. PEG provides capacity for public input in the development of Street Improvement Projects (SIPs) and supports the explicit goals of Project-Based Outreach and Public Awareness. Under the direction of the Director and Data Analytics Lead, the candidate will conduct research and analysis on the group's public engagement analytics and strategy. This includes outreach plans, providing detailed data analysis, deploying to the field as needed to help implement engagement strategies, working with the Public Engagement Coordinator (PEC) to setup deployment logistics, liaising with internal planning units, and performing analyses to assist in programmatic planning, developing best practices in database management, and identifying and tracking key performance metrics to optimize outreach efforts. Field assignments include assessing loading and delivery needs along commercial corridors as well as conducting intercept surveys to capture data at static positions within project areas. Typical outreach projects support public plazas, bike lane development, Open Streets, busway/ bus lane development, and Citi Bike expansion., New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Your organization as a Graph](https://www.wearedevelopers.com/videos/2051-your-organization-as-a-graph) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Developers are Building the Cities of the Future](https://www.wearedevelopers.com/magazine/536-developers-are-building-the-cities-of-the-future) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)