JOB DESCRIPTION

** Please note that only applicants who meet the minimum qualifications below will be considered. Additionally, candidates must have U.S. work authorization, as visa sponsorship is not available.
The New York City Taxi and Limousine Commission (TLC) is the city agency responsible for regulating for-hire transportation in New York City, including taxis, street hail liveries, high-volume for-hire services such as Uber and Lyft, black cars, luxury limousines, livery vehicles, commuter vans, and paratransit vehicles. The TLC licenses about 180,000 drivers, 116,000 vehicles, and 1,000 businesses, which together transport more than a million passengers a day, making TLC the most active for-hire transportation regulatory agency in the world with oversight of a key component of the City’s transportation network. TLC is on the front lines of a rapidly changing mobility landscape and our innovative efforts-whether regulating driver pay, ensuring wheelchair accessibility, working to eliminate traffic fatalities, or preventing discriminatory service-often serve as a model for other cities.
We are looking for a motivated Senior Data Analyst to join our Data Analytics Unit within the Policy Division. You’ll be working with large datasets, including detailed trip data for every taxi and for-hire vehicle in New York City. The Senior Data Analyst will work closely with other team members to understand the team’s reports and analyses needs. This role is crucial in processing and analyzing billions of trip records, requiring expertise in big data analysis. The data includes detailed information on passenger wait times, pickup and drop-off locations, minute-level breadcrumb pings, passenger costs, and driver pay.
We are seeking a Senior Data Analyst who is excited to work with big data to help shape transportation policy in NYC. You will manage our data pipelines, enhance data governance, and bridge the gap between modern cloud-based solutions and legacy systems. Your work will involve building and maintaining the data and the technologies which are tied to our team’s ongoing projects such as traffic congestion, fare regulation, driver pay, vehicle electrification, and charging infrastructure.

The Senior Data Analyst will perform the following tasks:

• Conduct statistical analysis and produce maintainable and reproducible code to inform policy.

• Collaborate with other team members on short- and long-term projects.

• Mentor other team members.

• Manage complex data projects.
• Monitor data quality and completeness of trip data.
• Present to senior staff and outside stakeholders.
• Work with agency leadership from a variety of backgrounds to produce quality data analysis.

To Apply:
Please go to cityjobs.nyc.gov and search for Job ID# 708402 or click the “Apply” button below.

MINIMUM QUALIFICATIONS

1. 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:
2. 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
3. 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
4. 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.

PREFERRED SKILLS

• Possess of an experimentational mindset to explore, compare, and develop data models to produce robust, and actionable analysis. - Excellent research, writing, and verbal communication skills and effective problem-solving skills. - Experience writing SQL queries to extract meaningful data for the purpose of answering small and big questions. - Thoughtfulness about ensuring data accuracy and quality assurance. - Prior experience using Python to read and transform large amount of data and deliver clean and well-organized code. - Experience working with a version control tool and maintaining thorough data documentation. - Passionate about analyzing big datasets to inform policy in government or public service. - Attention to details, solid foundation in conducting data cleaning and Exploratory Data Analysis. - Solid foundation in statistical and predicative analysis. - Willingness to learn new technologies. - Creativity about exploring alternative data sources and conducting feature selection. - Collaborative mindset.

• Conduct statistical analysis and produce maintainable and reproducible code to inform policy