Data Analyst – Automatic Camera Enforcement (ACE), Emerging Talent Intern presso Metropolitan Transportation Authority
Metropolitan Transportation Authority · New York, Stati Uniti d'America · Onsite
- Junior
- Ufficio in New York
Description
- Analyze data from installed ACE systems to evaluate the performance of associated artificial intelligence models and extract actionable insights.
- Join field exercises to gather evidence for subsequent review and analysis.
- Create charts and diagrams illustrating system functionality.
- Attend project meetings and provide input where appropriate.
- Collaborate with project stakeholders to coordinate activities.
- Compile reports using data from multiple, diverse sources.
- Document analytical processes and procedures.
- Develop scripts for data analysis and transformation.
- Requirements Compliance – oversee and inspect the equipment during installation and then later analyze operational data to ensure compliance with technical specifications.
- Operational Metrics – Aggregate these data, assist in generating performance reports, and support troubleshooting efforts as needed.
- Financial Reporting – Consolidate financial data from operational activities and contribute to the preparation of accurate financial reports.
- 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.
- Strong mathematical aptitude – Strong mathematical skill and intuitive problem-solving abilities.
- Computer Programming – Medium to strong coding skills, with proficiency in at least one scripting language (e.g., JavaScript or Python).
- Relational databases – Practical experience working with SQL and relational database structures.
- Business intelligence tools – Experience using at least one BI platform, such as Tableau or Power BI.
- Matriculated in a graduate program in good standing with at least 2.8 GPA
- Major(s) Preferred: Data Science, or any Computer Science / Engineering with a focus on Data Science, or related field.