Senior Data Analyst (SQL, Telemetry, Browser Engine)

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, such as LCP and eTLD+1, with user-facing pain points and engagement trends. Scope, skills, and effort estimate The analyst will focus exclusively on Gecko engine telemetry across multiple platforms, Desktop and Android, collaborating with the Performance Team, Data Team, and Product Leadership. Required skills Technical: Advanced SQL using BigQuery and Redash, proficiency in data visualization using AI tooling, and experience with statistical analysis, such as Pearson correlation and multivariate analysis. Knowledge of browser engine performance metrics and telemetry systems. Ability to communicate complex data findings clearly to technical and non-technical stakeholders.