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Manager Data Analytics

Job in New York, New York County, New York, 10261, USA
Listing for: Metropolitan Transportation Authority
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 101754 - 127192 USD Yearly USD 101754.00 127192.00 YEAR
Job Description & How to Apply Below
Location: New York

Position at MTA Construction & Development

This position is eligible for telework, which is currently one day per week. New hires are eligible to apply 30 days after their effective date of hire.

JOB TITLE:

Manager, Data Analytics

AGENCY:

Construction & Development

DEPT/DIV:

REPORTS TO:

WORK LOCATION:

2 Broadway

HOURS OF WORK:

8:30 AM to 5:00 PM or as required (7.5HR/ DAY)

JOB FAMILY: DAB

Grade: 005

SALARY RANGE:

$101,754 to $127,192

DEADLINE:

Summary

The Manager , Data Analytics, will help shap e the future of the greater New York region by substantially contributing to the MTA’s capital planning and strategy. More specifically, this position will be responsible for creating and utilizing the analytic al tools that help set policy for critical transportation investments necessary to ensure the continued mobility of the MTA region. This position is responsible for developing and analyzing strategies and capital program methodologies, creating tools to assess critical planning issues, developing investment strategies, representing MTA policies with stakeholders, and working on long - range transportation strategies and issues.

Responsibilities
  • D evelop analytical and statistical tools to underpin capital planning for the MTA.
  • A nalyz e and visualiz e information, including the maturation of capital analytics , for further data-driven decision - making .
  • Work collaboratively across departments and staff, creat ing tools that assist in decision - making based on system and component condition, performance, criticality, safety, impact on service reliability, customer experience, access , resiliency, and other relevant considerations.
  • Develop data-driven strategies to guide the prioritization of capital investments , including statistical and data visualization tools to facilitate analysis and communication of relevant capital information and priorities.
  • Perform statistical analyses on a wide variety of data sets.
  • Establish areas of analysis , including system/network analyses , life-cycling costing; condition deterioration analysis; investment scenario modelling for prioritization of investments; and metrics to establish explicit linkages between the MTA Agencies’ objectives and investment priorities with desired and specific outcomes.
  • Spearhead the ongoing improvement of decision-making tools , including data architecture, to continuously improve the MTA’s capital planning process.
  • I nterpret and present a wide variety of data to understand and represent the capital needs of the MTA agencies. Present findings of various analyses to MTA senior staff, operating agencies, the public, and non-MTA agencies in an accurate, understandable and timely manner.
  • Utiliz e large databases of information, including asset assessments, asset inventories, regional planning information, transit usage, and socioeconomic and demographic information , to develop planning tools for prioritization that underpin the agency’s capital strategy.
  • Recommend and implement frameworks to consider multiple factors, such as asset condition, transit system performance data, regional needs, trends and challenges.
  • Develop and present planning information, processes, and results to stakeholders.
  • Creat e new and meaningful means for public communication of – and public input into - MTA’s capital planning.
  • Manag e consultants.
Education and Experience
  • A Bachelor's or Master's degree in urban planning, data science, engineering, public administration, or a related field .
  • Master ' s degree preferred.
  • Minimum of six (6) years of relevant experience.
  • An equivalent combination of education and experience may be considered.
  • Strong writing and presentation skills.
  • Strong supervisory and technical skills, including proficiency in MS Office, data analytics, visualization tools, and spatial analysis using GIS or similar mapping tools.
  • Knowledge of database management, programming, and other "big data" or data science skills .
  • Ability to perform in - depth qualitative and quantitative analyses using various tools and datasets.
  • Strong time and task management skills with the ability to manage multiple projects and deadlines and maximize the output of a small staff.
  • Knowledge of the…
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