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Mta Data Analyst Jobs (NOW HIRING)

Alma

Senior Data Analyst I, Marketing

$88K - $110K/yr

Drive complex, deep-dive analyses on multi-touch attribution (MTA), marketing mix modeling (MMM ... You have 4-7 years of experience in strategic data analytics, business intelligence, or analytics ...

MTA Headquarters

Manager, HR Data Engineer

New York, NY · Hybrid

$110K - $123K/yr

MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding ... Perform ad hoc analysis as necessary. * Identify and implement continuous improvement initiatives ...

MTA Headquarters

Manager, Financial Analysis

New York, NY · Hybrid

$90K - $113K/yr

MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding ... Must have a flair for numerical data and the ability to interpret and present figures, with a ...

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Mta Data Analyst information

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$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.
Senior Data Analyst I, Marketing

Senior Data Analyst I, Marketing

Alma

Remote

$88K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Key responsibilities

  • Own the strategic roadmap, data architecture, and analytical execution for the Marketing domain.

  • Design, build, and maintain enterprise-grade data models in dbt and interactive dashboards in BI tools to support marketing attribution and acquisition metrics.

  • Drive complex analyses on multi-touch attribution, marketing mix modeling, client lifetime value, and incrementality testing to optimize marketing budgets.

Job description

Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma's free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc's Best Workplaces in 2022 and 2023.
Website
Job Board
Values
Candidate Interview Guide
Alma's Data teams are on a transformative journey, evolving our culture and infrastructure to be AI-first and deeply data-driven. As the Senior Analyst I for Marketing, you will move beyond execution to serve as the principal data authority and strategic partner to our Growth, Performance Marketing, and Lifecycle teams. Moreover, you will be instrumental in supporting Alma's mission to make it easy to find high-quality, affordable mental health care.
You will own the strategic roadmap, data architecture, and analytical execution for the Marketing domain. You speak Marketing fluently (CAC, LTV, multi-touch attribution, ROAS, and conversion funnels) and possess the leadership capability to translate executive business goals into robust, scalable data assets. You will act as a critical bridge between Marketing leadership, Data Engineering, and Data Science to unlock high-velocity, automated insights.
Outcomes: How We'll Define Success in the First 12 Months
This is a high-impact individual contributor role defined by architectural ownership, strategic autonomy, and cross-functional leadership:
  • End-to-End Domain Ownership: Take full ownership of the Marketing data reporting layer, mapping out and executing a multi-quarter technical roadmap that aligns cleanly with Alma's growth OKRs.
  • Architectural Scalability: Design and optimize our core Marketing data models within dbt, moving the organization away from siloed reporting toward an integrated, full-funnel "source of truth".
  • Strategic Enablement: Empower Marketing stakeholders with automated, high-fidelity pacing models and diagnostic tools that reduce manual workflows and accelerate media-spend optimization.
  • Cross-Functional Bridge: Act as the primary technical liaison between Growth Marketing and Data Engineering, defining the requirements for downstream identity resolution and MarTech API integrations.

Other Responsibilities: What Else You Will Do
  • Advanced Data Modeling & Architecture: Design, build, and maintain enterprise-grade data models in dbt and interactive dashboards in our BI tools (Lightdash). You will ensure the underlying data structures supporting marketing attribution and acquisition metrics are clean, scalable, and optimized for performance.
  • Technical Mentorship & Coaching: Act as a technical mentor to peer analysts across the data org. You will lead code reviews, establish dbt modeling standards, and help upskill the broader team in SQL mastery and data governance.
  • Advanced Growth Analytics: Drive complex, deep-dive analyses on multi-touch attribution (MTA), marketing mix modeling (MMM), client lifetime value (LTV), and incrementality testing to help optimize multi-million dollar marketing budgets.
  • Process & Workflow Evolution: Champion the adoption of modern analytics engineering practices. Identify workflow bottlenecks and proactively introduce AI-accelerated frameworks to increase the velocity and consistency of the team's insights.

Who You Are (Requirements)
  • Experience: You have 4-7 years of experience in strategic data analytics, business intelligence, or analytics engineering, with a proven track record of supporting high-growth Growth or Performance Marketing teams.
  • Technical Mastery: You possess expert-level SQL proficiency alongside advanced, hands-on experience structuring core warehouse schemas using dbt. You know your way around several BI tools (like Looker, Metabase, Tableau, or Lightdash).
  • Domain Expertise: You have deep expertise in the nuances of digital marketing data ecosystems (e.g., ad platforms, event tracking, lifecycle platforms) and understand how to stitch anonymous top-of-funnel cookies to known downstream user IDs.
  • Strategic Leadership & Communication: You excel at breaking down highly complex technical or analytical concepts into structured frameworks and actionable insights for executive and non-technical stakeholders.
  • AI-First Mindset: You actively leverage and deploy AI-powered tools within your day-to-day workflow to maximize technical velocity and automate redundant tasks.

Autonomy & Collaboration: You are a natural self-starter who thrives when handed highly ambiguous business challenges. You bring people together across functions to engineer robust data solutions.
Benefits:
  • We're a remote-first company
  • Health insurance plans through Aetna (medical and dental) and MetLife (vision), including FSA and HSA plans
  • 401K plan (ADP)
  • Monthly therapy and wellness stipends
  • Monthly co-working space membership stipend
  • Monthly work-from-home stipend
  • Financial wellness benefits through Northstar
  • Pet discount program through United Pet Care
  • Financial perks and rewards through BenefitHub
  • EAP access through Aetna
  • One-time home office stipend to set up your home office
  • Comprehensive parental leave plans
  • 12 paid holidays and 1 Alma Give Back Day
  • Flexible PTO

Salary Band: $125,000 - $145,000
All Alma jobs are listed on our careers page. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information throughout the recruiting process. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with a helloalma.com email address.
Learn more about how Alma handles applicant data by reading Alma's Applicant Privacy Notice.

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