Secure Your Future with SEPTA – A Leader in Transportation!

The Southeastern Pennsylvania Transportation Authority (SEPTA) is the sixth-largest transportation system in the U.S., connecting communities across a 2,200-square-mile service region. SEPTA is at the forefront of innovation in the transit industry, ensuring reliable and efficient services while driving economic growth in the Philadelphia region.

 

We are proud to be recognized as:

2023 FORBES Best in State Employer

Philadelphia Employer of Choice for 2024

 

We are seeking to hire a candidate for our Senior Transit Data Analyst (3057).    

 

Opening Date: 05/05/2026

Closing Date: 05/19/2026

Job Grade: SAM 38

Salary Range: $73,164.00-$91,442.00       

OVERALL DESCRIPTION

Plans, coordinates, improves, and builds out ridership and operations monitoring and management tracking systems; develops innovative data analysis methods to derive business insights from large datasets; conducts in-depth, planned and ad hoc research and analysis; fulfills data and analytics requests from inside and outside the Authority; produces novel datasets from existing datasets and statistical models empowering other analysts and the public; trains and advises the Planning Analyst I, Planning Analyst II, Co-Ops, and interns. Responsible for assisting the Manager, Data Analytics with data reporting activities and supporting the analytical needs of the Strategic Planning & Analysis Department.

SPECIFIC RESPONSIBILITIES

1. Performs data analysis, develop, prepare, and present statistical/analytical reports as required to a range of audiences both internal and external. 
2. Prepares and processes daily and weekly reports for ridership and operational performance, ensuring adequate data quality of processed data, identify critical metrics and KPls, and deliver actionable insights to relevant decision makers. 
3. Provides management with reports that will track progress and efficiency on projects and provide the basis for decision making. 
4. Responsible for statistical/analytical reports as required by the Planning Division. 
5. Develops ideas into Tableau and/or PowerBI visualizations and dashboards to better understand ridership trends, geographies, service levels, seat availability, key performance indicators (KPI) etc. 
6. Develops novel datasets from existing datasets and statistical models, with the direction and guidance of immediate manager, for use by other analysts throughout the Authority. 
7. Performs analysis of performance standards to create new systems and revise established procedures. 
8. Develops effective, graphical methods for communicating results of research, analysis, and corporate performance indicators with senior management, employees, stakeholders, and the general public. 
9. Coordinates data collection from Automatic Passenger Counter (APC) and prepares reports on ridership and performance data including trend analysis of operational and ridership statistics from various data sources. 
10. Provides primary analytical support to Strategic Planning & Analysis, Service Planning City and Suburban Schedules Sections, making recommendations to schedulers concerning routing and scheduling based upon analysis. 
11. Responds to and fulfills requests for data and insights from within SEPTA, from partner agencies, from academic researchers, and from members of the press. 
12. Supports data sharing across the Authority. 
13. May assist with training other staff as necessary. 
14. Performs other duties as assigned/required. 

QUALIFICATIONS AND EXPERIENCE

• Bachelor's Degree in Data Science, Data Analytics, Business Analytics, Economics, Statistics, Mathematics, Geography, Computer Science, Software Engineering, Urban & Regional Planning, Business Administration, Public Administration, or related field.
• A minimum of three (3) years of work experience which includes progressively responsible professional experience in data analysis required. Graduate degree may substitute for one (1) year of experience. 
• Excellent personal computer skills to include popular software for reporting, presentation, and database management required. 
• Strong, demonstrated skills in either Python, R, or SQL required. Willingness to learn Python required. 
• Ability to learn and apply statistical, predictive modeling, or other advanced analytical techniques