Mission

The Data Analyst position requires advanced knowledge of contemporary statistical methodologies and sharp analytical skills. The successful candidate will oversee Go Raleigh's comprehensive statistical database and will be responsible for implementing operational and financial transit programs. They will use these tools to enhance and advance the company's processes and performance. Additionally, the Data Analyst will be pivotal in preparing and submitting the National Transit Data Report and the North Carolina Department of Transportation Reports for the City of Raleigh's transit system.

Profile

Requirements of the Data Analyst

• Report data regarding service provided, service consumed, and service resources.
• Provide relevant transit statistics, such as Vehicle Revenue Hours (VRH), Vehicle Revenue Miles (VRM), Unlinked Passenger Trips (UPT), Passenger Miles Traveled (PMT), and the total number of individual vehicle boardings.
• Collect financial data, such as Operating Expenses (OE) for each mode operated and the sources of funds used to support transit service.
• Assemble data related to transit staffing levels and asset data for fleets and facilities.
• Perform advanced professional analysis and oversight of financial transit programs.
• Conduct detailed analysis of data used across business units to evaluate and improve.
• Respond to real-time data and product-related inquiries to support business and technical teams.
• Establish appreciation and adherence to data quality management principles, including metadata, lineage, and business definitions.
• Support tech teams with security mechanism management and data access governance.
• Provide informed, professional consultation to management and partner organizations.
• Review, utilize, and maintain current Federal Transit Authority processes and statistics.

Benefits

• Vacation
• Sick time
• Life & Accident Insurance
• Medical, Dental, and Vision Insurance
• Wellness Program
• Retirement savings plan (401 K)

We are an equal-opportunity employer, and we welcome diversity to our teams.

Skills

data analyst

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