The Gecko platform is the core engine of our product experience.
To maintain competitiveness and user satisfaction, we must move beyond surface-level metrics to understand the deep correlations between engine performance and real-world user behavior.
We currently face challenges with data quality, such as bot contamination in nightly telemetry, which obscures our understanding of true performance trends.
A dedicated analyst is required to bridge the gap between engineering telemetry and actionable product strategy, ensuring that leadership has high-fidelity data to prioritize performance guardrails and technical budgets.
Engineering Deliverables Automated Dashboards: Create and maintain high-level overview dashboards that translate complex performance data into consumable formats for Product Managers and leadership.
Telemetry Gap Analysis: Audit the Gecko codebase to identify missing collection points or "probes" necessary for a complete understanding of the product experience.
Data Sanitization Frameworks: Develop methodologies and tools to identify and filter data inconsistencies, specifically focusing on isolating bot traffic and hardware-specific noise from telemetry streams.
Behavioral Inference Reports: Deliver deep-dive analyses correlating technical performance shifts (e.
, LCP, eTLD+1) with user-facing pain points and engagement trends.
Required Skills Technical: Advanced SQL (BigQuery/Redash), proficiency in data visualization using AI tooling, and experience with statistical analysis (e.
, Pearson’s correlation, multivariate analysis).
Knowledge of Rust/C++ is a strong plus.
Strong proficiency with AI tools like Claude Code, Codex, or similar is highly desirable.
Domain Knowledge: Ability to understand browser component interac.