Metropolitan Transportation Authority-posted 3 months ago
$110,000 - $130,511/Yr
Full-time • Mid Level
New York, NY
Transit and Ground Passenger Transportation

As a member of the Data & Analytics team, you will work on a dynamic, growing team tasked with helping to define and achieve the MTA's strategic priorities and address its most pressing challenges. You will get the experience of seeing your work become public data and have it influence critical decisions that affect millions of New Yorkers. Our work combines new approaches and algorithms with a deep knowledge of our operations to deliver deeper insights into our performance. Our outputs are used by a wide array of people: from the MTA Board and senior execs to front-line managers and our open data customers. If you would like to use your programming skills to work on complex problems to improve public transit in NYC, then we'd like to talk to you. The incumbent will help lead the redevelopment of metrics.mta.info, the MTA's external-facing data visualization site built off of open data, as well as various other internal-facing data tools used for real-time system analysis. This role combines front-end engineering expertise with a strong understanding of data visualization best practices and user experience design to deliver intuitive, sustainable, and performant tools that help teams across the MTA access, understand, and make decisions on data.

  • Lead the design and development of a new metrics.mta.info and other internal-facing data tools, ensuring usability, performance, and clarity.
  • Collaborate closely with data engineers, analysts, and product stakeholders to understand requirements, source data, and align front-end tools with upstream data pipelines.
  • Support MTA's open data and transparency goals by translating complex data concepts into intuitive visualizations, dashboards, and interfaces that support decision-making across the agency.
  • Proactively identify and resolve UI/UX issues, technical debt, and performance issues on visualization products.
  • Use the latest data technologies and cloud platforms to collect, integrate, ingest, transform, and organize data and information to support data analyses, reporting, dashboarding and modern analytics across the agency.
  • Research and recommend the best emerging technologies, toolsets, applications, and systems to improve efficiency and efficacy.
  • In consultation with managers in the Data & Analytics function, help lead project planning, help carry out project management, and communicate with clients and all relevant parties on project status.
  • Support the selection and development of teammates within the department.
  • Perform other duties as assigned.
  • Strong skills in front-end development using modern frameworks such as React or Svelte; experience with TypeScript and component-based design preferred.
  • Experience managing the hosting and deployment of high-performance front-end applications.
  • Experience with DevOps tools (e.g., Github Actions, Argo, etc.) and familiarity with related concepts (e.g., CI/CD).
  • Strong sense of effective design and visual communication through data.
  • Ability to work and communicate with data scientists, including understanding basic data science concepts, statistics, and common languages such as Python.
  • Strong skills in programming, database design, and data lake architectures for data engineering.
  • Ability to play a lead role on the Data & Analytics team to set priorities and overall program planning in support of business goals.
  • Ability to work with data of different types — structured, semi-structured, unstructured — as well as from distinct disciplines — transportation, finance, HR, asset maintenance.
  • Knowledge of transit/ transportation systems and excellent judgment on how to manage or overcome technical, organizational, or governance constraints to meet business goals.
  • Familiarity with common algorithms used to calculate KPIs and extensive experience with data visualization and business intelligence tools such as Power BI.
  • Experience with data engineering orchestration tools (e.g., Airflow, Dagster, etc.) and DevOps tools (e.g., ADO, Git, Jenkins, Docker, etc.) and familiarity with related concepts (e.g., CI/CD).
  • Extensive experience and ability to design and implement quality assurance and automated testing systems.
  • Exceptional ability to read code and understand technical issues, keep up with technical innovation and trends in data engineering.
  • Ability to collaborate and provide support to all levels of MTA, both technical and non-technical.
  • Ability to deconstruct difficult problems into smaller and simpler pieces.
  • Extensive experience in project design, strong project management skills, and the ability to lead successful team-based projects.
  • Proactive interest in identifying strategic, policy, and business issues in all proposed and ongoing projects.
  • Strong written communication skills for both non-technical and technical documents.
  • Ability to present and engage on complex work products with executive audiences and to review and make decisions on project design options with clients and stakeholders.
  • Master's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
  • Eligible for teleworking, which is currently one day per week.
  • 30 days after their effective hire date for new hires.
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