NYC DOT is seeking a Senior Data Analyst to strengthen how the City understands, manages, and improves automated camera enforcement in service of Vision Zero and safer streets for New Yorkers. The role is based in Automated Camera Enforcement, the group responsible for the Red Light, Bus Lane, ACE, and Speed Camera programs an operational portfolio that is large, highly visible, and continuing to expand citywide (currently issuing approximately 6.4 million violations per year).
The City has established expansive access to operational and program data. This position will turn that access into practical insight: framing the questions that matter most to program leaders, finding credible answers in the data, and communicating those answers in ways that support day-to-day management, inform program decisions, and strengthen the evidence base for safety outcomes.
The position is a senior individual contributor role with substantial independence and visibility, working closely with operations leadership and alongside an established analytics community across the agency and the City.
Responsibilities:
- Tell the program’s operational story through analysis: translate complex findings into plain language, decision-ready recommendations, and materials that support briefings, leadership updates, and cross-agency coordination.
- Build and maintain a small set of trusted program metrics, with clear definitions and documentation so results are consistent, explainable, and easy to use.
- Identify where operations are slowing down or becoming inconsistent across locations or workflows, explain the drivers, and propose practical improvements that teams can implement.
- Forecast volume and workload needs and translate those forecasts into planning inputs (for example: staffing needs, processing capacity, and timelines) that support responsible program expansion.
- Evaluate the impact of operational or policy changes using sound methods that fit real-world constraints, and explain what changed, why it mattered, and what should happen next.
- Create simple, durable tools and recurring reports (for example: performance trackers, workload views, early-warning indicators) that reduce manual work and help teams manage the program at scale.
- Write efficient SQL to pull and combine data from multiple systems and develop reliable automated datasets that reduce one-off reporting and improve data freshness.
- Use Python and/or R to build reusable analytical workflows (for example: forecasting, anomaly detection, segmentation), with clear documentation of assumptions and limitations.
Work Location: To Be Determined
Hours/Shift: 35 Hrs./ Mon-Fri / 9:00AM – 5:00PM
This position may be eligible for remote work up to 2 days per week, pursuant