Data Analyst

• Build and maintain E2E inference time tracking (global and per-model).
• Monitor how implementation changes impact total request latency.
• Detect regressions introduced by suboptimal code paths.
• Provide automated alerts & historical trends.
• Build dashboards for internal use (engineering, product, leadership).
• Provide client-facing usage dashboards (requests, errors, success rate, performance).
• Support clients who need visibility to debug their integrations.
• Track model-level usage, API endpoints usage, adoption metrics, etc.
• Implement metrics, logs, and traces that help the entire platform scale smoothly.
• Work closely with DevOps & backend teams to improve system observability.
• Provide insights that guide infra decisions (GPU allocation, autoscaling, caching, batching, etc.).
• Select and maintain tooling (e.g., Prometheus/Grafana, Datadog, OpenTelemetry, ELK, BigQuery, etc.).
• Ensure data pipelines are reliable, accessible, and always up-to-date.
• Build simple, easy-to-read dashboards for both technical and non-technical teams.

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