Job Information
City of New York Senior Freight Analyst in New York, New York
Job Description
New York City's economic vitality and livability as a world-class city depend on a robust logistics and supply chain network that serves our 8.5 million residents, supports over 4 million jobs, and welcomes 62 million tourists annually. With close to 90% of the city's goods being transported by trucks, the Department of Transportation is committed to reinventing freight transportation solutions and addressing critical challenges related to goods movement.
The Division of Transportation Planning & Management (TPM) 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. The Freight Mobility (FM) Unit within TPM is dedicated to advancing transformative infrastructure projects, programs, and policies to improve the safety, efficiency, and sustainability of goods movement, ensuring that residents and businesses get the goods they need without compromising livability.
TPM is seeking an ambitious, highly organized, and motivated candidate who is passionate about transforming the future of freight transportation in one of the world's most dynamic cities, to serve as a Senior Freight Analyst within its Freight Mobility Unit. Reporting to the Program Lead for Policy and Planning, the Senior Freight Analyst will work on a variety of primarily grant-funded projects to collect, analyze, synthesize, and interpret a diverse set of freight transportation data and economic data, and market trends.
The Senior Freight Analyst will support various planning studies to develop data-driven insights and collaborate with planners and engineers to develop freight models and estimations, scenario planning, leveraging emerging data sources, anonymized commercial GPS data. This position will play a critical role in analyzing and interpreting complex data sets to inform our regional freight policy and program development efforts. Key responsibilities include : 1) Conduct economic and planning research studies to inform policy, program, and project development; 2) Analyze and interpret complex data sets to identify freight trends and patterns; 3) Develop predictive models to forecast urban freight transportation trends and demand; 4) Collaborate with internal and external stakeholders to gather and analyze data; 5) Prepare standard reports, presentations, and effectively communicate analyses and results and recommendations; 6) Build and maintain relationships with industry experts, government agencies, and research organizations.
Preferred Skills
Demonstrated experience conducting research and analyzing complex data sets. Strong analytical and quantitative skills, including experience with statistical analysis, predictive modeling, and data visualization. Experience with data management systems and software, including but not limited to SQL, Python, Java, R, Power Bi, etc. Strong written and verbal communication skills, including the ability to present complex data to non-technical audiences. Ability to work independently and as part of a team in a fast-paced and dynamic environment.
Additional Information
This position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37.
Hours/Shift: 9am-5pm
Work Location: 55 Water Street, New York, NY 10041
To Apply
All resumes are to be submitted electronically using one of the following methods:
Current employees, please log into Employee Self Service at https://hrb.nycaps.nycnet follow the Careers Link. Job ID #: 638582
All other applicants, go to www.nyc.gov/careers and search for Job ID # 638582
No phone calls, faxes or personal inquiries permitted.
Only applicants under consideration will be contacted. Most public libraries have computers available for use.
Note: New hires must reside in NYC for the first two years of employment. Appointments are subject to OMB approval.
For more information about DOT, visit us at: www.nyc.gov/dot
Qualifications
- For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
To be appointed to Assignment Level II and above, candidates must have:
A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.
NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.
Additional Information
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.