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Mta Data Analyst Jobs (NOW HIRING)

Abnormal AI, Inc.

Senior Marketing Data Analyst

$88K - $110K/yr

... Attribution (MTA) models. * Data Integrity, Funnel Science & Day-to-Day Operations * Maintain ... Analyze the "Golden Path" to revenue to determine the optimal mix of touches (digital, event, human ...

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Mta Data Analyst information

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$34K

$82.6K

$136K

How much do mta data analyst jobs pay per year?

As of Jun 29, 2026, the average yearly pay for mta data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Mta Data Analyst vs Mta Data Technician?

AspectMta Data AnalystMta Data Technician
Required CredentialsBachelor's degree in data analysis, statistics, or related field; proficiency in data toolsTechnical diploma or associate degree; focus on data collection and maintenance
Work EnvironmentOffice setting, working with data systems and analysis toolsField and maintenance settings, handling data hardware and systems
Employer & Industry UsagePublic transit agencies, transportation departmentsTransit infrastructure, data collection, and system maintenance

The Mta Data Analyst primarily focuses on analyzing transit data to improve operations, while the Mta Data Technician handles data collection, hardware, and system maintenance. Both roles are essential in transit agencies but differ in responsibilities and skill requirements.

What are the key skills and qualifications needed to thrive as an MTA Data Analyst, and why are they important?

To thrive as an MTA Data Analyst, you need strong analytical skills, a solid background in statistics or mathematics, and typically a degree in data science, statistics, computer science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and data visualization platforms (e.g., Tableau or Power BI) is commonly required, along with knowledge of transportation-specific databases. Exceptional problem-solving, attention to detail, and effective communication skills help analysts interpret complex data and share actionable insights with both technical and non-technical stakeholders. These skills are vital for optimizing transit operations, improving rider experience, and supporting data-driven decision-making at the MTA.

What types of projects might an MTA Data Analyst typically work on, and how do they collaborate with other departments?

As an MTA Data Analyst, you’ll often work on projects such as analyzing ridership trends, optimizing transit schedules, or supporting fare policy decisions. You’ll regularly collaborate with teams like Operations, Planning, and IT to gather data, interpret results, and provide actionable insights. Effective communication is key, as you’ll need to translate complex data findings into clear recommendations for both technical and non-technical stakeholders. This collaborative environment not only enhances your analytical skills but also provides exposure to various aspects of transit operations and policy development.

What does an MTA Data Analyst do?

An MTA Data Analyst is responsible for collecting, analyzing, and interpreting data related to the operations of the Metropolitan Transportation Authority (MTA). They use statistical tools and data visualization techniques to identify trends, monitor performance, and support decision-making for transit services. Their work helps improve efficiency, optimize schedules, and enhance rider experiences. MTA Data Analysts often collaborate with other departments to implement data-driven solutions across the organization.
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What cities are hiring for Mta Data Analyst jobs? Cities with the most Mta Data Analyst job openings:
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Mta Data Analyst jobs near you
Infographic showing various Mta Data Analyst job openings in the United States as of June 2026, with employment types broken down into 14% Internship, 75% Full Time, and 11% Contract. Highlights an 89% In-person, 7% Hybrid, and 4% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Enterprise Architecture, Technology & Engineer Fellow (Fall)

Enterprise Architecture, Technology & Engineer Fellow (Fall)

Metropolitan Transportation Authority

New York, NY

$21 - $23/hr

Other

Posted 16 days ago

Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

39th of 76 rated public transport

Job description

Description
Position at MTA Headquarters
Department:                     MTA IT 
Location:                          2 Broadway, New York, NY 10004
Position Title:                   Enterprise Architecture, Technology & Engineer Fellow
Hourly Rate:                    $21.00 (Undergraduate), $23.00 (Graduate)
 
All internship positions are onsite and require regular, in-person attendance at the designated work location.
 
 
OVERVIEW OF DEPARTMENT:
The Enterprise Architecture team works to support data governance and digital transformation across the MTA.
 
The MTA IT Enterprise Architecture Fellow will work with senior staff to support ongoing efforts in Enterprise Architecture, data governance, and digital transformation. The intern will help to create processes and technology solutions that define, uphold, and communicate MTA IT's data democratization vision, encompassing the principles, governance and management that support business strategies and drive technology innovation in Artificial Intelligence (AI) and Machine Learning (ML). This position begins in Fall 2026; candidates should be ready to commit minimum of 12months in the role.
 
RESPONSIBILITIES:
  • Support Abacus Modeling and Scripting - Assist in developing and maintaining scripts in Abacus (VBScript, Python, or JavaScript) to automate modeling, diagram generation, and data imports/exports.
  • Contribute to Data, AI/ML initiatives - Drive the modernization of MTA's Data, ML, and AI services, to enhance operational efficiency, enable data-driven decision-making, and maximize business value.
  • Research Data and AI Policies and Industry Regulations - Stay current on Data and AI policy developments and industry regulations, contributing to the creation of governance frameworks to ensure responsible practices within MTA.
  • Monitor Technologies and Regulatory Trends - Track technology advancements as well as changes in federal and state regulations, providing actionable insights to inform MTA's IT strategy.
  • Assist in Data Validation and Policy Development - Support data validation efforts, review processes, and contribute to the development of policies, ensuring accuracy and compliance across multiple initiatives.
  • Provide Research and Administrative Support - Handle foundational research tasks and support key activities to enable high-priority projects.
  • Foster Talent Development and Efficiency - The intern will enhance workflow efficiency, free up resources, and contribute to the development of future talent for the growing needs in Data and AI governance by taking on research, analysis, and documentation tasks.
 
PROJECTS:
  • Researching and drafting policies for research data and AI.
  • Participate in modeling, diagram generation and data imports/exports.
  • Track changes in technology regulation at the state and federal levels.
 
REQUIRED QUALIFICATIONS:
  • Proficiency in Microsoft Office Suite is a must.
  • The candidate should possess organizational, analytical and communication skills. 
  • The candidate should be able to work well under pressure and prioritize tasks effectively.
  • The candidate should have a keen eye for detail and be able to work independently while being an active team player.
 
REQUIRED EDUCATION:
  • Matriculated in an undergraduate program in good standing with at least 2.5 GPA AND/OR matriculated in a graduate program in good standing with at least 2.8 GPA
  • Major(s) Preferred: Computer Science, Information Technology, System Engineering, Technology Architecture, Human-Performance Engineering, Physics, Statistics, Computational or Applied Mathematics, Data Science, or related field.
 
 All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted.
 
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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