Platform Data Analyst

Strong experience with data analytics, observability, or monitoring Hands-on with metrics/logging/tracing frameworks (Prometheus, Grafana, Datadog, New Relic, etc.) Good understanding of backend systems and distributed architectures Ability to turn raw metrics into actionable insights Experience building dashboards for internal and external stakeholders Familiarity with AI model monitoring (latency, throughput, error codes, GPU utilization) Experience with AI/ML infrastructure, inference pipelines, GPUs (Nice-to-Have) Understanding of Python APIs, FastAPI, or Node environments (Nice-to-Have) Experience working with high-throughput real-time systems (Nice-to-Have) Startup or scale-up experience (Nice-to-Have)

Build and maintain E2E inference time tracking. Monitor impact of implementation changes on request latency. Detect regressions introduced by code paths. Provide automated alerts and historical trends. Build internal and client-facing usage dashboards. Support clients needing visibility to debug integrations. Track model-level usage, API endpoints usage, and adoption metrics. Implement metrics, logs, and traces for platform scalability. Work closely with DevOps & backend teams to improve system observability. Provide insights for infra decisions (GPU allocation, autoscaling, caching, batching). Select and maintain tooling (e.g., Prometheus/Grafana, Datadog, OpenTelemetry, ELK, BigQuery). Ensure data pipelines are reliable, accessible, and up-to-date. Build simple, easy-to-read dashboards for technical and non-technical teams.