Senior Data Analyst

City of New York•New York City, NY

17h

About The Position

This candidate will serve as a Senior Data Analyst in NYC DOT’s Bike Share & Shared Mobility unit, which is responsible for planning and oversight of the Citi Bike program and other shared micro mobility services in New York City. Citi Bike is a public transportation service and a public-private partnership that is among the largest and most successful bike share systems in the world. The program is in the latter stages of a five-year expansion that will ultimately double the size of its previous service area and put more than 40,000 bicycles within a five-minute walk of half of NYC residents. Other shared micro mobility services in NYC include dock less e-scooter services in the East Bronx and eastern Queens. We are seeking a Senior Data Analyst to join our team and play a pivotal role in shaping how we understand, monitor, and optimize our shared mobility systems. This individual will combine data analytics, advanced visualization, and strategic storytelling to translate complex data from Citi Bike and Shared E-Scooter programs into actionable insights that inform planning and day-to-day operations. The ideal candidate thrives at the intersection of analytics and communication - able to uncover patterns, craft compelling narratives, and partner with internal team members at all levels to drive informed decision-making. Reporting to the Director of Data Science, the Senior Data Analyst will be responsible for, but not limited to:

Requirements

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.

Responsibilities

Conduct research and analysis on bike share and shared mobility to inform current and future planning
Prepare reports and briefing materials based on the databases that underlie the bike share and shared mobility systems
Monitor vendor compliance with governmental regulations, DOT policies, and contract terms
Develop predictive models to answer complex and nuanced questions about the programs and anticipate future needs and behavior of the systems
Respond quickly and accurately to ad hoc data requests for internal and external stakeholders
Develop and maintain dashboards to deliver insights to internal team members using software such as Power BI
Translate data into stories that resonate with senior staff, managers, and staff, highlighting both the "what" and the "why"
Collaborate with leadership, Operations, Planning, and Policy teams to align analytics and research agendas with organizational priorities
Offer evidence-based recommendations to support system planning, managing existing service areas, and shaping future policy decisions
Act as a trusted advisor and build strong relationships with the internal team members.
Monitor data quality, identify issues, and maintain data integrity.
Document data management procedures (e.g., data dictionaries, business rules)
Plan, design, maintain, and support unit internal databases