Sr Data Analyst analyzing Firefox Gecko telemetry for Mozilla’s browser performance strategy. Building dashboards, sanitizing telemetry, and linking engine performance to user behavior.
Responsibilities
Create and maintain high-level overview dashboards translating complex performance data into consumable formats for Product Managers and leadership
Audit the Gecko codebase to identify missing telemetry collection points or probes
Develop methodologies and tools to identify and filter data inconsistencies, including bot traffic and hardware-specific noise
Deliver deep-dive analyses correlating technical performance shifts, such as LCP and eTLD+1, with user-facing pain points and engagement trends
Focus on Gecko engine telemetry across Desktop and Android platforms
Collaborate with the Performance Team, Data Team, and Product Leadership
Requirements
Advanced SQL (BigQuery/Redash)
Proficiency in data visualization using AI tooling
Experience with statistical analysis, including Pearson’s correlation and multivariate analysis
Knowledge of Rust/C++ is a strong plus
Strong proficiency with AI tools such as Claude Code, Codex, or similar is highly desirable
Ability to understand browser component interactions and their impact on user experience
Proven ability to work independently, translating technical requirements into business insights
Comfortable working in unfamiliar technical problem spaces and finding a path forward with minimal guidance
Ability to use documentation, experimentation, source code, data, and other available resources to solve problems
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