Mozilla
Mozilla
Mozilla ir bezpeļņas programmatūras un interneta organizācija, kas strādā, lai tīmeklis būtu atvērts, pieejams un orientēts uz lietotājiem. Mozilla, kas vislabāk pazīstama ar Firefox, izstrādā tādus produktus kā Mozilla VPN, Firefox Relay un Mozilla Monitor, īpašu uzmanību pievēršot privātumam, drošībai, ātrumam un lietotāju kontrolei. Tās darbība aptver arī atvērtā pirmkoda programmatūru, mākslīgā intelekta inovācijas un digitālo tiesību aizstāvību, tostarp centienus veicināt uzticamas tehnoloģijas, atbildīgu mākslīgā intelekta izstrādi un lielāku atbildību visā tehnoloģiju nozarē.

Senior Data Analyst, Firefox Performance Telemetry — Mozilla (Remote, Canada)

Analyze Firefox Gecko telemetry to guide Mozilla’s browser performance strategy. Build dashboards, improve telemetry quality, and connect engine performance with user behavior.

Apraksts

  • Build and maintain overview dashboards that make complex performance data useful to product managers and leaders.
  • Review the Gecko codebase to find gaps in telemetry collection and probe coverage.
  • Create methods and tools to detect and filter inconsistent data, including bot traffic and hardware-related noise.
  • Analyze how technical performance changes, such as LCP and eTLD+1, relate to user pain points and engagement trends.
  • Analyze Gecko engine telemetry across desktop and Android.
  • Work with the Performance Team, Data Team, and product leadership.

Prasības

  • Advanced SQL skills, including BigQuery or Redash.
  • Experience with data visualization using AI tools.
  • Statistical analysis experience, including Pearson correlation and multivariate analysis.
  • Knowledge of Rust or C++ is a strong advantage.
  • Strong ability with AI tools such as Claude Code, Codex, or similar is highly desirable.
  • Ability to understand how browser components interact and affect user experience.
  • Ability to work independently and turn technical requirements into business insights.
  • Comfort working in unfamiliar technical areas and finding a way forward with minimal guidance.
  • Ability to solve problems using documentation, experimentation, source code, data, and other available resources.

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